Name: Lean Six Sigma Green Belt Certification Program: Virtual In-House Training
Price: 3750 GBP
Availability: InStock

<p id="isPasted" style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;" fr-original-style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"><strong style="box-sizing: border-box; font-weight: 700;" fr-original-style="box-sizing: border-box; font-weight: 700;">LOOKING FOR:</strong> ADULT FICTION, NON-FICTION</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); font-size: 16px; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-size: 16px;">Sian Ellis-Martin joined Blake Friedmann in 2018 and is building a list of fiction and non-fiction at the agency.&nbsp;</span></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); font-size: 16px; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-size: 16px;">With regards to fiction, Sian is looking for commercial, upmarket and accessible literary novels. She always wants to be completely absorbed by the world of the novel, to jump into the character&rsquo;s life and be swept into the narrative as if she&rsquo;s been there all along. She&rsquo;s drawn in by compelling characters and relationships, and loves stories with a mystery or question at the heart of them. She&rsquo;s open to these ideas being explored in a variety of ways, but at the moment, she&rsquo;d particularly like to find an epic love story, a fun, queer rom-com with an unusual setting or pitch, and/or a sweeping family saga. She leans more towards contemporary settings but does enjoy a historical backdrop too.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); font-size: 16px; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-size: 16px;">In non-fiction, she&rsquo;s looking for narrative non-fiction, history from different perspectives and books that make complicated ideas around things like politics and literature more accessible. Her favourite type of non-fiction book is the one that makes you interested in something or someone you&rsquo;d never thought you would be. She&rsquo;d also love to find cookery and food books too, particularly cuisines that are less visible in the book world, or budget cooking.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); font-size: 16px; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-size: 16px;">She&rsquo;s not currently taking on YA, children&rsquo;s, fantasy or science fiction projects.</span></p><p style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;" fr-original-style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"><strong style="box-sizing: border-box; font-weight: 700;" fr-original-style="box-sizing: border-box; font-weight: 700;">Sian would like you to submit a covering letter, 1 - 2 page synopsis and the first three chapters (or 5,000 words) of your manuscript in a single word document.&nbsp;</strong></p><p id="isPasted" style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;" fr-original-style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">(<em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">In addition to the paid sessions, Sian is kindly offering one free session for low income/under-represented writers. Please email <a href="mailto:agent121@iaminprint.co.uk" style="box-sizing: border-box; text-decoration: inherit; cursor: pointer; user-select: auto; font-size: var(--font-size);" fr-original-style="box-sizing: border-box; text-decoration: inherit; cursor: pointer; user-select: auto;">agent121@iaminprint.co.uk</a> to apply, outlining your case for this option which is offered at the&nbsp;</em><em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">discretion of&nbsp;</em><em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">I Am In Print)</em>.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">By booking you understand you need to conduct an internet connection test with<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;</strong><em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">I Am In Pr</em><em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">int</em> prior to the event. You also agree to email your material in one document to reach <em fr-original-style="" style="box-sizing: border-box;">I Am In Print</em> by the stated submission deadline 20and note that <em style="box-sizing: border-box;" fr-original-style="box-sizing: border-box;">I Am In Print</em> take no responsibility for the advice received during your agent meeting.</p><p style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;" fr-original-style="box-sizing: border-box; font-size: 16px; color: var(--text); font-family: sans-serif; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;"><strong style="box-sizing: border-box; font-weight: 700;" fr-original-style="box-sizing: border-box; font-weight: 700;">Please prepare to submit your manuscript immediately you book as the submission deadline is now: Monday 8 July 2024</strong></p>

LOOKING FOR: ADULT FICTION, NON-FICTION

Sian Ellis-Martin joined Blake Friedmann in 2018 and is building a list of fiction and non-fiction at the agency. 

With regards to fiction, Sian is looking for commercial, upmarket and accessible literary novels. She always wants to be completely absorbed by the world of the novel, to jump into the character’s life and be swept into the narrative as if she’s been there all along. 
She’s drawn in by compelling characters and relationships, and loves stories with a mystery or question at the heart of them. 

She’s open to these ideas being explored in a variety of ways, but at the moment, she’d particularly like to find an epic love story, a fun, queer rom-com with an unusual setting or pitch, and/or a sweeping family saga. She leans more towards contemporary settings but does enjoy a historical backdrop too.

In non-fiction, she’s looking for narrative non-fiction, history from different perspectives and books that make complicated ideas around things like politics and literature more accessible. Her favourite type of non-fiction book is the one that makes you interested in something or someone you’d never thought you would be. She’d also love to find cookery and food books too, particularly cuisines that are less visible in the book world, or budget cooking.

She’s not currently taking on YA, children’s, fantasy or science fiction projects.

Sian would like you to submit a covering letter, 1 - 2 page synopsis and the first three chapters (or 5,000 words) of your manuscript in a single word document. 

(In addition to the paid sessions, Sian is kindly offering one free session for low income/under-represented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print). 

By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting.

Submission Deadline: Thursday 6th March 2025

I Am In Print

Fiction Writing

BOOKINGS CLOSED! 18th March Sian Ellis-Martin #Agent121. Looking for: ADULT FICTION, NON-FICTION

General Admission

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Carrying out manufacturing activities on multiple products with different specifications consecutively.&nbsp;</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;"><strong style="color: rgb(16, 24, 64); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: rgb(16, 24, 64);"><span style="color: rgb(16, 24, 64); box-sizing: border-box;" fr-original-style=" color: rgb(16, 24, 64);"><span style="color: rgb(16, 24, 64); box-sizing: border-box;" fr-original-style=" color: rgb(16, 24, 64);"><span style="color: rgb(16, 24, 64); box-sizing: border-box;" fr-original-style=" color: rgb(16, 24, 64);">LMO &nbsp;(Lean Manufacturing Operations) Level 2</span></span></span></strong><br fr-original-style="" style="box-sizing: border-box;"></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 18px; box-sizing: border-box;" fr-original-style="font-size: 18px;">Course Duration / 12 Months Level 2</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Apprenticeship Standard</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Overview</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Manufacturing Industry offers an exciting and varied career both in the UK &amp; abroad providing a broad spectrum of opportunities for people to work in a technically advanced and innovative environment.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Businesses within the sector range from small family run manufacturing operations to large multinational companies driving the countries growth &amp; wealth.The UK&rsquo;s Manufacturing Industry is highly regarded worldwide for its innovation and manufacturing excellence and requires a high degree of skill &amp; knowledge across all levels of their organisations.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Typical responsibilities for a lean manufacturing operative are:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Carry out their work safely and meet the exacting quality standards demanded in a fast paced and efficient processing environment</li><li fr-original-style="" style="box-sizing: border-box;">Carry out manufacturing activities on multiple products with different specifications consecutively e.g. automotive manufacturing</li><li fr-original-style="" style="box-sizing: border-box;">Prepare, control, contribute to and complete manufacturing operations, and follow manufacturing processes and standard operating procedures (SOPs)</li><li fr-original-style="" style="box-sizing: border-box;">Responsible for maintaining Health and Safety requirements at all times e.g. wearing correctPersonal Protective Equipment</li><li fr-original-style="" style="box-sizing: border-box;">Required to contribute, develop and support improvement in the manufacturing operation using continuous improvement methods and problem solving tools and techniques.</li><li fr-original-style="" style="box-sizing: border-box;">Work closely with stakeholders and will have clear reporting lines to ensure appropriate escalation</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Examples of the job titles from across the manufacturing sector that would be covered within this standard include: Team Member Production; Manufacturing Production Operative; ManufacturingAssembly Operative; Manufacturing Inspection/Quality Assurance Operative.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(16, 24, 64); box-sizing: border-box;" fr-original-style="color: rgb(16, 24, 64);"><span style="color: rgb(16, 24, 64); box-sizing: border-box;" fr-original-style="color: rgb(16, 24, 64);"><span style="color: rgb(16, 24, 64); box-sizing: border-box;" fr-original-style="color: rgb(16, 24, 64);"><br fr-original-style="" style="box-sizing: border-box;"></span></span></span></strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="color: rgb(16, 24, 64); box-sizing: border-box;" fr-original-style="color: rgb(16, 24, 64);"><span style="color: rgb(16, 24, 64); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(16, 24, 64);"><span style="color: rgb(16, 24, 64); box-sizing: border-box;" id="isPasted" fr-original-style="color: rgb(16, 24, 64);">LMO (Lean Manufacturing Operations) Level 2</span></span></span></strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course Content</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Knowledge</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Health &amp; Safety</strong>: Relevant statutory, organisational and health and safety regulations relating to lean manufacturing operations and safe practices</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Environmental</strong>: Compliance procedures/systems in line with regulatory requirements e.g. ISO 14001 or other relevant environmental standards</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Production</strong>: Their individual roles and responsibilities within the organisation and the flexibility required to deliver products to meet customers costs/delivery targets/requirements e.g. Just in time (JIT)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lean Manufacturing Operations</strong>: Manufacturing standard operation procedures (SOPs) adherence and development of lean processes</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Quality Control</strong>: Process equipment monitoring, data collection, error proofing and operating procedures e.g. ISO 9002 or other relevant quality standards</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Problem Solving</strong>: The tools and methods of effective problem solving using data, reports and documents to resolve production related issues e.g. A3 report, graphs, matrices and escalate concerns</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Continuous Improvement</strong>: How to study and identify ways to improve the safety, quality, cost or process efficiency using lean manufacturing tools e.g. kaizen</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Communication</strong>: How to share information using a range of methods within the manufacturing environment e.g. oral, written, electronic, information boards, visual displays</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Work Place Organisation</strong>: How to maintain a safe and efficient work site through work place organisation e.g. 5s and process ownership</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Skills</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Health &amp; Safety</strong>: Work safely at all times, complying with health and safety legislation, regulations, and other relevant guidelines. Identifying risks within their processes and support/carry out counter measure activities to improve safe working. Manage tooling, equipment and materials daily in-line with supplier standards e.g. COSHH (Control of Substances Hazardous to Health).</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Environmental</strong>: Comply with environmental procedures and systems and contribute to the achievement of specific standards e.g. ISO 14001 or other relevant environmental standards and use the 4R&rsquo;s (Reduce,Re-use, Recycle, Recover) where possible.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Production</strong>: Demonstrate their ability to carry out their role effectively, efficiently and flexibly maintaining lean manufacturing principles to meet customer&rsquo;s demands e.g. JIT</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lean Manufacturing Operations</strong>: Demonstrate their skill and knowledge following SOPs and building their versatility across a number of processes and process areas. Select and use appropriate tools, equipment and materials to carry out the manufacturing operation</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Quality Control</strong>: Demonstrate appropriate process documentation control. Accurately completing check sheets, monitoring process and equipment data efficiently and legibly using the correct terminology required to meet the quality standard e.g. ISO 9002</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Problem Solving</strong>: Demonstrate their ability to identify and resolve problems within the lean manufacturing environment using effective problem solving tools and techniques. Manage problems that may occur during the manufacturing process within the limits of their responsibility and escalate as appropriate</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Continuous Improvement</strong>: Generate ideas and contribute to process improvement activities individually or as part of a team through fact finding and analysis to improve the safety, environment, quality, cost or production process. Identifying and eliminating the 7 wastes (defects, over production, transportation, waiting, inventory, motion and processing)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Communication</strong>: Demonstrate communication skills which include oral, written, electronic (PC),information boards or visual displays to effectively share information</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Work Place Organisation</strong>: Maintains and monitors the work site efficiently and effectively at all times using the elements of sifting, sorting, sweeping, spick &amp; span (5&rsquo;s) within the lean manufacturing environment</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Behaviours</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Punctual, reliable and takes responsibility for their own actions.</li><li fr-original-style="" style="box-sizing: border-box;">Show respect for others, having regard for diversity and equality.</li><li fr-original-style="" style="box-sizing: border-box;">Respond positively to change in the working environment.</li><li fr-original-style="" style="box-sizing: border-box;">Integrates within the team and supports others.</li><li fr-original-style="" style="box-sizing: border-box;">Can work independently and effectively in challenging situations.</li><li fr-original-style="" style="box-sizing: border-box;">Maintains quality of work under pressure.An open and honest communicator.</li><li fr-original-style="" style="box-sizing: border-box;">Listens to other people&rsquo;s opinions.</li><li fr-original-style="" style="box-sizing: border-box;">A positive and respectful attitude.</li><li fr-original-style="" style="box-sizing: border-box;">Follows instructions and guidance and demonstrates attention to detail.</li><li fr-original-style="" style="box-sizing: border-box;">Seeks opportunities to develop and adapt to different situations, environments or technologies.</li></ul><div fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></div><div fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></div><div fr-original-style="" style="box-sizing: border-box;">As part of the Lean Manufacturing standard, learners have to complete the following qualifications:</div><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Level 2 Diploma in Manufacturing.</strong></div></li></ul>

Carrying out manufacturing activities on multiple products with different specifications consecutively. 


LMO (Lean Manufacturing Operations) Level 2

Course Duration / 12 Months Level 2
Apprenticeship Standard


Course Overview
The Manufacturing Industry offers an exciting and varied career both in the UK & abroad providing a broad spectrum of opportunities for people to work in a technically advanced and innovative environment.
Businesses within the sector range from small family run manufacturing operations to large multinational companies driving the countries growth & wealth.The UK’s Manufacturing Industry is highly regarded worldwide for its innovation and manufacturing excellence and requires a high degree of skill & knowledge across all levels of their organisations.
Typical responsibilities for a lean manufacturing operative are:
Carry out their work safely and meet the exacting quality standards demanded in a fast paced and efficient processing environment
Carry out manufacturing activities on multiple products with different specifications consecutively e.g. automotive manufacturing
Prepare, control, contribute to and complete manufacturing operations, and follow manufacturing processes and standard operating procedures (SOPs)
Responsible for maintaining Health and Safety requirements at all times e.g. wearing correctPersonal Protective Equipment
Required to contribute, develop and support improvement in the manufacturing operation using continuous improvement methods and problem solving tools and techniques.
Work closely with stakeholders and will have clear reporting lines to ensure appropriate escalation
Examples of the job titles from across the manufacturing sector that would be covered within this standard include: Team Member Production; Manufacturing Production Operative; ManufacturingAssembly Operative; Manufacturing Inspection/Quality Assurance Operative.


LMO (Lean Manufacturing Operations) Level 2
Course Content


Knowledge
Health & Safety: Relevant statutory, organisational and health and safety regulations relating to lean manufacturing operations and safe practices
Environmental: Compliance procedures/systems in line with regulatory requirements e.g. ISO 14001 or other relevant environmental standards
Production: Their individual roles and responsibilities within the organisation and the flexibility required to deliver products to meet customers costs/delivery targets/requirements e.g. Just in time (JIT)
Lean Manufacturing Operations: Manufacturing standard operation procedures (SOPs) adherence and development of lean processes
Quality Control: Process equipment monitoring, data collection, error proofing and operating procedures e.g. ISO 9002 or other relevant quality standards
Problem Solving: The tools and methods of effective problem solving using data, reports and documents to resolve production related issues e.g. A3 report, graphs, matrices and escalate concerns
Continuous Improvement: How to study and identify ways to improve the safety, quality, cost or process efficiency using lean manufacturing tools e.g. kaizen
Communication: How to share information using a range of methods within the manufacturing environment e.g. oral, written, electronic, information boards, visual displays
Work Place Organisation: How to maintain a safe and efficient work site through work place organisation e.g. 5s and process ownership


Skills
Health & Safety: Work safely at all times, complying with health and safety legislation, regulations, and other relevant guidelines. Identifying risks within their processes and support/carry out counter measure activities to improve safe working. Manage tooling, equipment and materials daily in-line with supplier standards e.g. COSHH (Control of Substances Hazardous to Health).
Environmental: Comply with environmental procedures and systems and contribute to the achievement of specific standards e.g. ISO 14001 or other relevant environmental standards and use the 4R’s (Reduce,Re-use, Recycle, Recover) where possible.
Production: Demonstrate their ability to carry out their role effectively, efficiently and flexibly maintaining lean manufacturing principles to meet customer’s demands e.g. JIT
Lean Manufacturing Operations: Demonstrate their skill and knowledge following SOPs and building their versatility across a number of processes and process areas. Select and use appropriate tools, equipment and materials to carry out the manufacturing operation
Quality Control: Demonstrate appropriate process documentation control. Accurately completing check sheets, monitoring process and equipment data efficiently and legibly using the correct terminology required to meet the quality standard e.g. ISO 9002
Problem Solving: Demonstrate their ability to identify and resolve problems within the lean manufacturing environment using effective problem solving tools and techniques. Manage problems that may occur during the manufacturing process within the limits of their responsibility and escalate as appropriate
Continuous Improvement: Generate ideas and contribute to process improvement activities individually or as part of a team through fact finding and analysis to improve the safety, environment, quality, cost or production process. Identifying and eliminating the 7 wastes (defects, over production, transportation, waiting, inventory, motion and processing)
Communication: Demonstrate communication skills which include oral, written, electronic (PC),information boards or visual displays to effectively share information
Work Place Organisation: Maintains and monitors the work site efficiently and effectively at all times using the elements of sifting, sorting, sweeping, spick & span (5’s) within the lean manufacturing environment
Behaviours
Punctual, reliable and takes responsibility for their own actions.
Show respect for others, having regard for diversity and equality.
Respond positively to change in the working environment.
Integrates within the team and supports others.
Can work independently and effectively in challenging situations.
Maintains quality of work under pressure.An open and honest communicator.
Listens to other people’s opinions.
A positive and respectful attitude.
Follows instructions and guidance and demonstrates attention to detail.
Seeks opportunities to develop and adapt to different situations, environments or technologies.
As part of the Lean Manufacturing standard, learners have to complete the following qualifications:
Level 2 Diploma in Manufacturing.

Rachel Hood

Lean Manufacturing

Carrying out manufacturing activities on multiple products with different specifications consecutively.

LMO  (Lean Manufacturing Operations) Level 2

London

<h2>SAFe® Lean Portfolio Management: In-House Training</h2>
<p>Create a culture of innovation, flexibility, and speed where all people in the portfolio can effectively execute as one unified team.</p>
<p>In this course, you will gain the practical tools and techniques necessary to implement the Lean Portfolio Management functions of Strategy and Investment Funding, Agile Portfolio Operations, and Lean Governance.</p>
<p>You will have the opportunity to capture the current and future state of the portfolio with the Portfolio Canvas tool and identify important business initiatives for achieving the future state. You'll be able to establish portfolio flow with the Portfolio Kanban and prioritize initiatives for maximum economic benefit. The course also provides insights on how to establish Value Stream Budgets and Lean Budget Guardrails and measure the Lean portfolio performance.</p><h3>What you will Learn</h3><ul><li>Describe the importance of LPM</li><li>Connect the portfolio to enterprise strategy</li><li>Implement Lean budgeting and guardrails</li><li>Establish portfolio flow with the Portfolio Kanban</li><li>Support operational excellence with APMO and CoPs</li><li>Coordinate Value Streams</li><li>Measure the LPM performance</li><li>Build a plan for LPM implementation</li></ul><section>
                    <ul><li>Introducing Lean Portfolio Management (LPM)</li><li>Establishing Strategy and Investment Funding</li><li>Applying Agile Portfolio Operations</li><li>Applying Lean Governance</li><li>Implementing the LPM function</li></ul>


                </section>

SAFe® Lean Portfolio Management: In-House Training
Create a culture of innovation, flexibility, and speed where all people in the portfolio can effectively execute as one unified team.
In this course, you will gain the practical tools and techniques necessary to implement the Lean Portfolio Management functions of Strategy and Investment Funding, Agile Portfolio Operations, and Lean Governance.
You will have the opportunity to capture the current and future state of the portfolio with the Portfolio Canvas tool and identify important business initiatives for achieving the future state. You'll be able to establish portfolio flow with the Portfolio Kanban and prioritize initiatives for maximum economic benefit. The course also provides insights on how to establish Value Stream Budgets and Lean Budget Guardrails and measure the Lean portfolio performance.
What you will Learn
Describe the importance of LPM
Connect the portfolio to enterprise strategy
Implement Lean budgeting and guardrails
Establish portfolio flow with the Portfolio Kanban
Support operational excellence with APMO and CoPs
Coordinate Value Streams
Measure the LPM performance
Build a plan for LPM implementation
Introducing Lean Portfolio Management (LPM)
Establishing Strategy and Investment Funding
Applying Agile Portfolio Operations
Applying Lean Governance
Implementing the LPM function

IIL Europe Ltd

Management of Portfolios (MoP)

Certified SAFe Product Owner

Certified SAFe Agilist

Portfolio Management

Professional Agile Leadership (PAL)

Lean Management

SAFe Lean Portfolio Management: In-House Training

<h2>SAFe® Lean Portfolio Management: Virtual In-House Training</h2>
<p>Create a culture of innovation, flexibility, and speed where all people in the portfolio can effectively execute as one unified team.</p>
<p>In this course, you will gain the practical tools and techniques necessary to implement the Lean Portfolio Management functions of Strategy and Investment Funding, Agile Portfolio Operations, and Lean Governance.</p>
<p>You will have the opportunity to capture the current and future state of the portfolio with the Portfolio Canvas tool and identify important business initiatives for achieving the future state. You'll be able to establish portfolio flow with the Portfolio Kanban and prioritize initiatives for maximum economic benefit. The course also provides insights on how to establish Value Stream Budgets and Lean Budget Guardrails and measure the Lean portfolio performance.</p><h3>What you will Learn</h3><ul><li>Describe the importance of LPM</li><li>Connect the portfolio to enterprise strategy</li><li>Implement Lean budgeting and guardrails</li><li>Establish portfolio flow with the Portfolio Kanban</li><li>Support operational excellence with APMO and CoPs</li><li>Coordinate Value Streams</li><li>Measure the LPM performance</li><li>Build a plan for LPM implementation</li></ul><section>
                    <ul><li>Introducing Lean Portfolio Management (LPM)</li><li>Establishing Strategy and Investment Funding</li><li>Applying Agile Portfolio Operations</li><li>Applying Lean Governance</li><li>Implementing the LPM function</li></ul>


                </section>

SAFe® Lean Portfolio Management: Virtual In-House Training
Create a culture of innovation, flexibility, and speed where all people in the portfolio can effectively execute as one unified team.
In this course, you will gain the practical tools and techniques necessary to implement the Lean Portfolio Management functions of Strategy and Investment Funding, Agile Portfolio Operations, and Lean Governance.
You will have the opportunity to capture the current and future state of the portfolio with the Portfolio Canvas tool and identify important business initiatives for achieving the future state. You'll be able to establish portfolio flow with the Portfolio Kanban and prioritize initiatives for maximum economic benefit. The course also provides insights on how to establish Value Stream Budgets and Lean Budget Guardrails and measure the Lean portfolio performance.
What you will Learn
Describe the importance of LPM
Connect the portfolio to enterprise strategy
Implement Lean budgeting and guardrails
Establish portfolio flow with the Portfolio Kanban
Support operational excellence with APMO and CoPs
Coordinate Value Streams
Measure the LPM performance
Build a plan for LPM implementation
Introducing Lean Portfolio Management (LPM)
Establishing Strategy and Investment Funding
Applying Agile Portfolio Operations
Applying Lean Governance
Implementing the LPM function

SAFe Lean Portfolio Management: Virtual In-House Training

<h2>Lean Six Sigma Black Belt Certification Program: In-House Training</h2>
 <p>This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners.</p>
 <p>If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others.</p>
 <p>Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course.</p><h3>What you Will Learn</h3> 
 <p>At the end of this program, you will be able to:</p> 
 <ul> 
 <li>Use Minitab for advanced data analysis</li> 
 <li>Develop appropriate sampling strategies</li> 
 <li>Analyze differences between samples using Hypothesis Tests</li> 
 <li>Apply Statistical Process Control to differentiate common cause and special cause variation</li> 
 <li>Explain and apply various process capability metrics</li> 
 <li>Conduct Measurement System Analysis and Gage R&amp;R studies for both discrete and continuous data</li> 
 <li>Conduct and analyze simple and multiple regression analysis</li> 
 <li>Plan, execute, and analyze designed experiments</li> 
 <li>Drive sustainable change efforts through leadership, change management, and stakeholder management</li> 
 <li>Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps</li> 
 <li>Explain the main concepts of Design for Six Sigma including QFD</li> 
 </ul><section>
                    <h3>Introduction: DMAIC Review</h3> <ul>  <li>IIL Black Belt Certification Requirements</li>  <li>Review Project Selection</li>  <li>Review Define</li>  <li>Review Measure</li>  <li>Review Analyze</li>  <li>Review Improve</li>  <li>Review Control</li>  </ul>  <h3>Introduction: Minitab Tool</h3> <ul>  <li>Introduction to Minitab</li>  <li>Minitab basic statistics and graphs</li>  <li>Special features</li>  <li>Overview of Minitab menus</li>  </ul>  <h3>Introduction: Sampling</h3> <ul>  <li>The Central Limit Theorem</li>  <li>Confidence Interval of the mean</li>  <li>Sample size for continuous data (mean)</li>  <li>Confidence Interval for proportions</li>  <li>Sample size for discrete data (proportions)</li>  <li>Sampling strategies (review)</li>  <li>Appendix: CI and sample size for confidence levels other than 95%</li>  </ul>  <h3>Hypothesis Testing: Introduction</h3> <ul>  <li>Why use advanced stat tools?</li>  <li>What are hypothesis tests?</li>  <li>The seven steps of hypothesis tests</li>  <li>P value errors and hypothesis tests</li>  </ul>  <h3>Hypothesis Testing: Tests for Averages</h3> <ul>  <li>1 factor ANOVA and ANOM</li>  <li>Main Effect Plots, Interaction Plots, and Multi-Vari Charts</li>  <li>2 factor ANOVA and ANOM</li>  </ul>  <h3>Hypothesis Testing: Tests for Standard Deviations</h3> <ul>  <li>Testing for equal variance</li>  <li>Testing for normality</li>  <li>Choosing the right hypothesis test</li>  </ul>  <h3>Hypothesis Testing: Chi Square and Other Hypothesis Test</h3> <ul>  <li>Chi-square test for 1 factor</li>  <li>ANOM test for 1 factor</li>  <li>Chi-square test for 2 factors</li>  <li>Exercise hypothesis tests - shipping</li>  <li>Non-parametric tests</li>  </ul>  <h3>Analysis: Advanced Control Charts</h3> <ul>  <li>Review of Common Cause and Special Cause Variation</li>  <li>Review of the Individuals Control Charts</li>  <li>How to calculate Control Limits</li>  <li>Four additional tests for Special Causes</li>  <li>Control Limits after Process Change</li>  <li>Discrete Data Control Charts</li>  <li>Control Charts for Discrete Proportion Data</li>  <li>Control Charts for Discrete Count Data</li>  <li>Control Charts for High Volume Processes with Continuous Data</li>  </ul>  <h3>Analysis: Non-Normal Data</h3> <ul>  <li>Test for normal distribution</li>  <li>Box-Cox Transformation</li>  <li>Box-Cox Transformation for Individuals Control Charts</li>  </ul>  <h3>Analysis: Time Series Analysis</h3> <ul>  <li>Introduction to Time Series Analysis</li>  <li>Decomposition</li>  <li>Smoothing: Moving Average</li>  <li>Smoothing: EWMA</li>  </ul>  <h3>Analysis: Process Capability</h3> <ul>  <li>Process capability</li>  <li>Discrete Data: Defect metrics</li>  <li>Discrete Data: Yield metrics</li>  <li>Process Capability for Continuous Data: Sigma Value</li>  <li>Short- and long-term capabilities</li>  <li>Cp, Cpk, Pp, Ppk capability indices</li>  </ul>  <h3>Analysis: Measurement System Analysis</h3> <ul>  <li>What is Measurement System Analysis?</li>  <li>What defines a good measurement system?</li>  <li>Gage R&amp;R Studies</li>  <li>Attribute / Discrete Gage R&amp;R</li>  <li>Continuous Gage R&amp;R</li>  </ul>  <h3>Regression Analysis: Simple Correlation</h3> <ul>  <li>Correlation Coefficient</li>  <li>Simple linear regression</li>  <li>Checking the fit of the Regression Model</li>  <li>Leverage and influence analysis</li>  <li>Correlation and regression pitfalls</li>  </ul>  <h3>Regression Analysis: Multiple Regression Analysis</h3> <ul>  <li>Introduction to Multiple Regression</li>  <li>Multicollinearity</li>  <li>Multiple Regression vs. Simple Linear Regression</li>  </ul>  <h3>Regression Analysis: Multiple Regression Analysis with Discrete Xs</h3> <ul>  <li>Introduction</li>  <li>Creating indicator variables</li>  <li>Method 1: Going straight to the intercepts</li>  <li>Method 2: Testing for differences in intercepts</li>  </ul>  <h3>Logistic Regression: Logistic Regression</h3> <ul>  <li>Introduction to Logistic Regression</li>  <li>Logistic Regression - Adding a Discrete X</li>  </ul>  <h3>Design of Experiments: Introduction</h3> <ul>  <li>Design of Experiment</li>  <li>OFAT experimentation</li>  <li>Full factorial design</li>  <li>Fractional factorial design</li>  <li>DOE road map, hints, and suggestions</li>  </ul>  <h3>Design of Experiments: Full Factorial Designs</h3> <ul>  <li>Creating 2k Full Factorial designs in Minitab</li>  <li>Randomization</li>  <li>Replicates and repetitions</li>  <li>Analysis of results: Factorial plots</li>  <li>Analysis of results: Factorial design</li>  <li>Analysis of results: Fits and Residuals</li>  <li>Analysis of results: Response Optimizer</li>  <li>Analysis of results: Review</li>  </ul>  <h3>Design of Experiments: Pragmatic Approaches</h3> <ul>  <li>Designs with no replication</li>  <li>Fractional factorial designs</li>  <li>Screening Design of Experiment Case Study Repair Time</li>  <li>Blocking</li>  </ul>  <h3>Closing: Organizational Change Management</h3> <ul>  <li>Organizational change management</li>  <li>Assuring project sponsorship</li>  <li>Emphasizing shared need for change</li>  <li>Mobilizing stakeholder commitment</li>  </ul>  <h3>Closing: Project Management for Lean Six Sigma</h3> <ul>  <li>Introduction to project management</li>  <li>Project management for Lean Six Sigma</li>  <li>The project baseline plan</li>  <li>Work Breakdown Structure (WBS)</li>  <li>Resource planning</li>  <li>Project budget</li>  <li>Project risk</li>  <li>Project schedule</li>  <li>Project executing</li>  <li>Project monitoring and controlling and Closing</li>  </ul>  <h3>Closing: Design for Lean Six Sigma</h3> <ul>  <li>Introduction to Design for Lean Six Sigma (DMADV)</li>  <li>Introduction to Quality Function Deployment (QFD)</li>  </ul>  <h3>Summary and Next Steps</h3> <ul>  <li>IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)</li>  </ul>


                </section>

Lean Six Sigma Black Belt Certification Program: In-House Training
This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners.
If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others.
Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course.
What you Will Learn
At the end of this program, you will be able to:
Use Minitab for advanced data analysis
Develop appropriate sampling strategies
Analyze differences between samples using Hypothesis Tests
Apply Statistical Process Control to differentiate common cause and special cause variation
Explain and apply various process capability metrics
Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data
Conduct and analyze simple and multiple regression analysis
Plan, execute, and analyze designed experiments
Drive sustainable change efforts through leadership, change management, and stakeholder management
Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps
Explain the main concepts of Design for Six Sigma including QFD
Introduction: DMAIC Review
IIL Black Belt Certification Requirements
Review Project Selection
Review Define
Review Measure
Review Analyze
Review Improve
Review Control
Introduction: Minitab Tool
Introduction to Minitab
Minitab basic statistics and graphs
Special features
Overview of Minitab menus
Introduction: Sampling
The Central Limit Theorem
Confidence Interval of the mean
Sample size for continuous data (mean)
Confidence Interval for proportions
Sample size for discrete data (proportions)
Sampling strategies (review)
Appendix: CI and sample size for confidence levels other than 95%
Hypothesis Testing: Introduction
Why use advanced stat tools?
What are hypothesis tests?
The seven steps of hypothesis tests
P value errors and hypothesis tests
Hypothesis Testing: Tests for Averages
1 factor ANOVA and ANOM
Main Effect Plots, Interaction Plots, and Multi-Vari Charts
2 factor ANOVA and ANOM
Hypothesis Testing: Tests for Standard Deviations
Testing for equal variance
Testing for normality
Choosing the right hypothesis test
Hypothesis Testing: Chi Square and Other Hypothesis Test
Chi-square test for 1 factor
ANOM test for 1 factor
Chi-square test for 2 factors
Exercise hypothesis tests - shipping
Non-parametric tests
Analysis: Advanced Control Charts
Review of Common Cause and Special Cause Variation
Review of the Individuals Control Charts
How to calculate Control Limits
Four additional tests for Special Causes
Control Limits after Process Change
Discrete Data Control Charts
Control Charts for Discrete Proportion Data
Control Charts for Discrete Count Data
Control Charts for High Volume Processes with Continuous Data
Analysis: Non-Normal Data
Test for normal distribution
Box-Cox Transformation
Box-Cox Transformation for Individuals Control Charts
Analysis: Time Series Analysis
Introduction to Time Series Analysis
Decomposition
Smoothing: Moving Average
Smoothing: EWMA
Analysis: Process Capability
Process capability
Discrete Data: Defect metrics
Discrete Data: Yield metrics
Process Capability for Continuous Data: Sigma Value
Short- and long-term capabilities
Cp, Cpk, Pp, Ppk capability indices
Analysis: Measurement System Analysis
What is Measurement System Analysis?
What defines a good measurement system?
Gage R&R Studies
Attribute / Discrete Gage R&R
Continuous Gage R&R
Regression Analysis: Simple Correlation
Correlation Coefficient
Simple linear regression
Checking the fit of the Regression Model
Leverage and influence analysis
Correlation and regression pitfalls
Regression Analysis: Multiple Regression Analysis
Introduction to Multiple Regression
Multicollinearity
Multiple Regression vs. Simple Linear Regression
Regression Analysis: Multiple Regression Analysis with Discrete Xs
Introduction
Creating indicator variables
Method 1: Going straight to the intercepts
Method 2: Testing for differences in intercepts
Logistic Regression: Logistic Regression
Introduction to Logistic Regression
Logistic Regression - Adding a Discrete X
Design of Experiments: Introduction
Design of Experiment
OFAT experimentation
Full factorial design
Fractional factorial design
DOE road map, hints, and suggestions
Design of Experiments: Full Factorial Designs
Creating 2k Full Factorial designs in Minitab
Randomization
Replicates and repetitions
Analysis of results: Factorial plots
Analysis of results: Factorial design
Analysis of results: Fits and Residuals
Analysis of results: Response Optimizer
Analysis of results: Review
Design of Experiments: Pragmatic Approaches
Designs with no replication
Fractional factorial designs
Screening Design of Experiment Case Study Repair Time
Blocking
Closing: Organizational Change Management
Organizational change management
Assuring project sponsorship
Emphasizing shared need for change
Mobilizing stakeholder commitment
Closing: Project Management for Lean Six Sigma
Introduction to project management
Project management for Lean Six Sigma
The project baseline plan
Work Breakdown Structure (WBS)
Resource planning
Project budget
Project risk
Project schedule
Project executing
Project monitoring and controlling and Closing
Closing: Design for Lean Six Sigma
Introduction to Design for Lean Six Sigma (DMADV)
Introduction to Quality Function Deployment (QFD)
Summary and Next Steps
IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Six Sigma Yellow Belt

Six Sigma Green Belt

Six Sigma White Belt

Lean 6 Sigma

Lean Six Sigma

Six Sigma Black Belt

Lean Six Sigma Black Belt Certification Program: In-House Training

<h2>Lean Six Sigma Yellow Belt Certification Program: Virtual In-House Training</h2>
 <p>This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology.</p>
 <p>This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. Participants will learn basic tools and techniques of Lean Six Sigma and those who pass a thirty-question exam (70% or above) will become a Certified Lean Six Sigma Yellow Belt. This course is delivered through four 3-hour online sessions.</p><h3>What you Will Learn</h3> 
 <p>You'll learn how to:</p> 
 <ul> 
 <li>Establish the structure that supports and sustains Lean Six Sigma Quality</li> 
 <li>Identify and calculate key Lean Six Sigma Measurements (Sigma, DPMO, and Yield)</li> 
 <li>Select successful, high-impact projects that match strategic objectives</li> 
 <li>Document, measure, and improve key processes using the DMAIC (Define, Measure, Analyze, Improve, and Control) Methodology</li> 
 <li>Utilize data-based thinking to make key business decisions</li> 
 </ul><section>
                    <h3>Introduction to the Fundamentals and Vision of Lean Six Sigma</h3> <ul>  <li>Lean Six Sigma's focus on the customer, on quality, and on results</li>  <li>The costs of poor quality</li>  <li>Critical factors to consider when deploying Lean Six Sigma</li>  <li>Lean Six Sigma as a process improvement methodology</li>  <li>Lean Six Sigma metrics</li>  <li>Why do it - ROI and payback for Lean Six Sigma</li>  <li>Business Process Management</li>  <li>Critical Lean Six Sigma roles and responsibilities</li>  <li>Main aspects of managing the organizational change</li>  <li>Project selection</li>  </ul>  <h3>Metrics of Lean Six Sigma and the DMAIC Model</h3> <ul>  <li>How to strategically align business metrics and projects within an organization</li>  <li>How to identify and measure quality characteristics which are critical to customers</li>  <li>What does the customer (internal or external) really want from our products and services?</li>  <li>Establishing appropriate teams and setting those teams up to be successful</li>  <li>What defines a good measurement system?</li>  <li>How are we doing (learning the secret to measuring the right things, right)?</li>  <li>How to improve output measures by understanding and measuring the process</li>  <li>Where are there defects (how to properly select and scope high-impact projects)?</li>  <li>Where is the process broken (the Lean Six Sigma version of root cause analysis)?</li>  <li>How to determine the process efficiency, or value add, of a process</li>  <li>The appropriate use of quality tools</li>  <li>Understanding the concept of variation and how to reduce knee-jerk reactions</li>  <li>How to achieve breakthrough results for any key measure</li>  <li>How can we ensure the identified improvements will be sustainable (the basics of process control)?</li>  </ul>


                </section>

Lean Six Sigma Yellow Belt Certification Program: Virtual In-House Training
This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology.
This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. Participants will learn basic tools and techniques of Lean Six Sigma and those who pass a thirty-question exam (70% or above) will become a Certified Lean Six Sigma Yellow Belt. This course is delivered through four 3-hour online sessions.
What you Will Learn
You'll learn how to:
Establish the structure that supports and sustains Lean Six Sigma Quality
Identify and calculate key Lean Six Sigma Measurements (Sigma, DPMO, and Yield)
Select successful, high-impact projects that match strategic objectives
Document, measure, and improve key processes using the DMAIC (Define, Measure, Analyze, Improve, and Control) Methodology
Utilize data-based thinking to make key business decisions
Introduction to the Fundamentals and Vision of Lean Six Sigma
Lean Six Sigma's focus on the customer, on quality, and on results
The costs of poor quality
Critical factors to consider when deploying Lean Six Sigma
Lean Six Sigma as a process improvement methodology
Lean Six Sigma metrics
Why do it - ROI and payback for Lean Six Sigma
Business Process Management
Critical Lean Six Sigma roles and responsibilities
Main aspects of managing the organizational change
Project selection
Metrics of Lean Six Sigma and the DMAIC Model
How to strategically align business metrics and projects within an organization
How to identify and measure quality characteristics which are critical to customers
What does the customer (internal or external) really want from our products and services?
Establishing appropriate teams and setting those teams up to be successful
What defines a good measurement system?
How are we doing (learning the secret to measuring the right things, right)?
How to improve output measures by understanding and measuring the process
Where are there defects (how to properly select and scope high-impact projects)?
Where is the process broken (the Lean Six Sigma version of root cause analysis)?
How to determine the process efficiency, or value add, of a process
The appropriate use of quality tools
Understanding the concept of variation and how to reduce knee-jerk reactions
How to achieve breakthrough results for any key measure
How can we ensure the identified improvements will be sustainable (the basics of process control)?

Lean Six Sigma Yellow Belt Certification Program: Virtual In-House Training

<h2>Lean Six Sigma Yellow Belt Certification Program: In-House Training</h2>
 <p>This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology.</p>
 <p>This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. Participants will learn basic tools and techniques of Lean Six Sigma and those who pass a thirty-question exam (70% or above) will become a Certified Lean Six Sigma Yellow Belt. This course is delivered through four 3-hour online sessions.</p><h3>What you Will Learn</h3> 
 <p>You'll learn how to:</p> 
 <ul> 
 <li>Establish the structure that supports and sustains Lean Six Sigma Quality</li> 
 <li>Identify and calculate key Lean Six Sigma Measurements (Sigma, DPMO, and Yield)</li> 
 <li>Select successful, high-impact projects that match strategic objectives</li> 
 <li>Document, measure, and improve key processes using the DMAIC (Define, Measure, Analyze, Improve, and Control) Methodology</li> 
 <li>Utilize data-based thinking to make key business decisions</li> 
 </ul><section>
                    <h3>Introduction to the Fundamentals and Vision of Lean Six Sigma</h3> <ul>  <li>Lean Six Sigma's focus on the customer, on quality, and on results</li>  <li>The costs of poor quality</li>  <li>Critical factors to consider when deploying Lean Six Sigma</li>  <li>Lean Six Sigma as a process improvement methodology</li>  <li>Lean Six Sigma metrics</li>  <li>Why do it - ROI and payback for Lean Six Sigma</li>  <li>Business Process Management</li>  <li>Critical Lean Six Sigma roles and responsibilities</li>  <li>Main aspects of managing the organizational change</li>  <li>Project selection</li>  </ul>  <h3>Metrics of Lean Six Sigma and the DMAIC Model</h3> <ul>  <li>How to strategically align business metrics and projects within an organization</li>  <li>How to identify and measure quality characteristics which are critical to customers</li>  <li>What does the customer (internal or external) really want from our products and services?</li>  <li>Establishing appropriate teams and setting those teams up to be successful</li>  <li>What defines a good measurement system?</li>  <li>How are we doing (learning the secret to measuring the right things, right)?</li>  <li>How to improve output measures by understanding and measuring the process</li>  <li>Where are there defects (how to properly select and scope high-impact projects)?</li>  <li>Where is the process broken (the Lean Six Sigma version of root cause analysis)?</li>  <li>How to determine the process efficiency, or value add, of a process</li>  <li>The appropriate use of quality tools</li>  <li>Understanding the concept of variation and how to reduce knee-jerk reactions</li>  <li>How to achieve breakthrough results for any key measure</li>  <li>How can we ensure the identified improvements will be sustainable (the basics of process control)?</li>  </ul>


                </section>

Lean Six Sigma Yellow Belt Certification Program: In-House Training
This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology.
This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. Participants will learn basic tools and techniques of Lean Six Sigma and those who pass a thirty-question exam (70% or above) will become a Certified Lean Six Sigma Yellow Belt. This course is delivered through four 3-hour online sessions.
What you Will Learn
You'll learn how to:
Establish the structure that supports and sustains Lean Six Sigma Quality
Identify and calculate key Lean Six Sigma Measurements (Sigma, DPMO, and Yield)
Select successful, high-impact projects that match strategic objectives
Document, measure, and improve key processes using the DMAIC (Define, Measure, Analyze, Improve, and Control) Methodology
Utilize data-based thinking to make key business decisions
Introduction to the Fundamentals and Vision of Lean Six Sigma
Lean Six Sigma's focus on the customer, on quality, and on results
The costs of poor quality
Critical factors to consider when deploying Lean Six Sigma
Lean Six Sigma as a process improvement methodology
Lean Six Sigma metrics
Why do it - ROI and payback for Lean Six Sigma
Business Process Management
Critical Lean Six Sigma roles and responsibilities
Main aspects of managing the organizational change
Project selection
Metrics of Lean Six Sigma and the DMAIC Model
How to strategically align business metrics and projects within an organization
How to identify and measure quality characteristics which are critical to customers
What does the customer (internal or external) really want from our products and services?
Establishing appropriate teams and setting those teams up to be successful
What defines a good measurement system?
How are we doing (learning the secret to measuring the right things, right)?
How to improve output measures by understanding and measuring the process
Where are there defects (how to properly select and scope high-impact projects)?
Where is the process broken (the Lean Six Sigma version of root cause analysis)?
How to determine the process efficiency, or value add, of a process
The appropriate use of quality tools
Understanding the concept of variation and how to reduce knee-jerk reactions
How to achieve breakthrough results for any key measure
How can we ensure the identified improvements will be sustainable (the basics of process control)?

Lean Six Sigma Yellow Belt Certification Program: In-House Training

<h2>Lean Six Sigma Green Belt Certification Program: In-House Training</h2>
 <p>This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills.</p>
 <p>Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions.</p><h3>What you Will Learn</h3> 
 <p>At the end of this program, you will be able to:</p> 
 <ul> 
 <li>Identify strategies for effectively leading high performing process improvement teams</li> 
 <li>Analyze whether projects align with business strategy</li> 
 <li>Apply process improvement methodologies to DMAIC steps, based on real world scenarios</li> 
 <li>Explain ways to appropriately respond to process variation</li> 
 <li>Distinguish among best practice problem solving methodologies</li> 
 <li>Evaluate and effectively communicate data-driven decisions, based on real world scenarios</li> 
 </ul><section>
                    <h3>Introduction</h3> <ul>  <li>Lean Six Sigma &amp; quality</li>  <li>The vision</li>  <li>The methodologies</li>  <li>The metric</li>  </ul>  <h3>Project Selection</h3> <ul>  <li>Why Projects</li>  <li>Random idea generation</li>  <li>Targeted idea generation</li>  <li>CTQs (Critical to Quality) &amp; projects</li>  <li>Project screening criteria</li>  <li>Quick improvements</li>  </ul>  <h3>Introduction to Define</h3> <h3>Project Planning</h3> <ul>  <li>Developing the core charter</li>  <li>Developing a project charter</li>  <li>Facilitation</li>  </ul>  <h3>Process Management</h3> <ul>  <li>Business process management</li>  <li>Top-down process mapping</li>  </ul>  <h3>Voice of the Customer</h3> <ul>  <li>Voice of Customer</li>  <li>Stakeholder analysis</li>  <li>Communication planning</li>  <li>Kicking off the project</li>  </ul>  <h3>Define Summary</h3> <h3>Introduction to Measure</h3> <h3>Data Collection</h3> <ul>  <li>Fact-based decision making</li>  <li>Data sampling</li>  <li>Operations definitions</li>  <li>Data collection plan</li>  <li>Measurement system analysis</li>  </ul>  <h3>Graphical Statistics for Continuous Data</h3> <ul>  <li>Meet Six SigmaXL</li>  <li>Graphical &amp; statistical tools</li>  <li>Data stratification</li>  </ul>  <h3>Graphical Statistics for Discrete Data</h3> <ul>  <li>Pareto analysis</li>  <li>Dot plots</li>  <li>Plotting data over time: Looking for patterns</li>  </ul>  <h3>Variation Concepts</h3> <ul>  <li>Variation is reality</li>  <li>Special Cause and Common Cause variation</li>  <li>Example of standard business reporting</li>  <li>Individuals Control Chart</li>  </ul>  <h3>Process Capability</h3> <ul>  <li>Genesis of process capability</li>  <li>Calculating the metrics of Six Sigma</li>  <li>Yield metrics: Measuring process efficiency</li>  </ul>  <h3>Cost of Poor Quality</h3> <ul>  <li>The Cost of Poor Quality (COPQ)</li>  <li>Cost of Quality categories</li>  <li>Calculating the Cost of Poor Quality</li>  </ul>  <h3>Measure Summary</h3> <h3>Introduction to Analyze</h3> <h3>Process Analysis</h3> <ul>  <li>Introduction to process analysis</li>  <li>Value-added analysis</li>  <li>Cycle time analysis</li>  <li>WIP &amp; pull systems</li>  <li>Analyzing bottlenecks and constraints</li>  </ul>  <h3>Cause &amp; Effect Analysis</h3> <ul>  <li>Fishbone/Ishikawa diagram</li>  <li>5-Whys analysis</li>  <li>Graphical &amp; statistical tools</li>  </ul>  <h3>Advanced Analysis</h3> <ul>  <li>Why use hypothesis rests?</li>  <li>Hypothesis tests</li>  <li>Correlation and regression analysis</li>  </ul>  <h3>Analyze Summary</h3> <h3>Introduction to Improve</h3> <h3>Solutions</h3> <ul>  <li>Creativity techniques</li>  <li>Generating alternative solutions</li>  <li>Solution selection techniques</li>  </ul>  <h3>Introduction to Design of Experiments</h3> <ul>  <li>Introduction to DOE</li>  <li>DOE activity</li>  </ul>  <h3>Error Proofing</h3> <ul>  <li>Failure mode &amp; effect analysis</li>  <li>Poka-Yoke</li>  </ul>  <h3>Project Management Fundamentals</h3> <ul>  <li>Successful teams</li>  <li>Project roles</li>  <li>Conflict management</li>  </ul>  <h3>Standardization</h3> <ul>  <li>Standardization</li>  <li>The Visual Workplace</li>  <li>5S</li>  </ul>  <h3>Piloting &amp; Verifying Results</h3> <ul>  <li>What is a pilot?</li>  <li>Evaluating results</li>  </ul>  <h3>Improve Summary</h3> <h3>Introduction to Control</h3> <h3>Statistical Process Control</h3> <ul>  <li>Review of Special &amp; Common Cause variation</li>  <li>Review of Individual Control Chart</li>  <li>P-Chart for discrete proportion data</li>  </ul>  <h3>Transition Planning</h3> <ul>  <li>Control plan</li>  <li>Project closure</li>  </ul>  <h3>Control Summary</h3> <h3>Summary and Next Steps</h3>


                </section>

Lean Six Sigma Green Belt Certification Program: In-House Training
This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills.
Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions.
What you Will Learn
At the end of this program, you will be able to:
Identify strategies for effectively leading high performing process improvement teams
Analyze whether projects align with business strategy
Apply process improvement methodologies to DMAIC steps, based on real world scenarios
Explain ways to appropriately respond to process variation
Distinguish among best practice problem solving methodologies
Evaluate and effectively communicate data-driven decisions, based on real world scenarios
Introduction
Lean Six Sigma & quality
The vision
The methodologies
The metric
Project Selection
Why Projects
Random idea generation
Targeted idea generation
CTQs (Critical to Quality) & projects
Project screening criteria
Quick improvements
Introduction to Define
Project Planning
Developing the core charter
Developing a project charter
Facilitation
Process Management
Business process management
Top-down process mapping
Voice of the Customer
Voice of Customer
Stakeholder analysis
Communication planning
Kicking off the project
Define Summary
Introduction to Measure
Data Collection
Fact-based decision making
Data sampling
Operations definitions
Data collection plan
Measurement system analysis
Graphical Statistics for Continuous Data
Meet Six SigmaXL
Graphical & statistical tools
Data stratification
Graphical Statistics for Discrete Data
Pareto analysis
Dot plots
Plotting data over time: Looking for patterns
Variation Concepts
Variation is reality
Special Cause and Common Cause variation
Example of standard business reporting
Individuals Control Chart
Process Capability
Genesis of process capability
Calculating the metrics of Six Sigma
Yield metrics: Measuring process efficiency
Cost of Poor Quality
The Cost of Poor Quality (COPQ)
Cost of Quality categories
Calculating the Cost of Poor Quality
Measure Summary
Introduction to Analyze
Process Analysis
Introduction to process analysis
Value-added analysis
Cycle time analysis
WIP & pull systems
Analyzing bottlenecks and constraints
Cause & Effect Analysis
Fishbone/Ishikawa diagram
5-Whys analysis
Graphical & statistical tools
Advanced Analysis
Why use hypothesis rests?
Hypothesis tests
Correlation and regression analysis
Analyze Summary
Introduction to Improve
Solutions
Creativity techniques
Generating alternative solutions
Solution selection techniques
Introduction to Design of Experiments
Introduction to DOE
DOE activity
Error Proofing
Failure mode & effect analysis
Poka-Yoke
Project Management Fundamentals
Successful teams
Project roles
Conflict management
Standardization
Standardization
The Visual Workplace
5S
Piloting & Verifying Results
What is a pilot?
Evaluating results
Improve Summary
Introduction to Control
Statistical Process Control
Review of Special & Common Cause variation
Review of Individual Control Chart
P-Chart for discrete proportion data
Transition Planning
Control plan
Project closure
Control Summary
Summary and Next Steps

Lean Six Sigma Green Belt Certification Program: In-House Training

<h2>Lean Six Sigma Black Belt Certification Program: Virtual In-House Training</h2>
 <p>This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners.</p>
 <p>If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others.</p>
 <p>Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course.</p><h3>What you Will Learn</h3>
 <p>At the end of this program, you will be able to:</p>
 <ul>
 <li>Use Minitab for advanced data analysis</li>
 <li>Develop appropriate sampling strategies</li>
 <li>Analyze differences between samples using Hypothesis Tests</li>
 <li>Apply Statistical Process Control to differentiate common cause and special cause variation</li>
 <li>Explain and apply various process capability metrics</li>
 <li>Conduct Measurement System Analysis and Gage R&amp;R studies for both discrete and continuous data</li>
 <li>Conduct and analyze simple and multiple regression analysis</li>
 <li>Plan, execute, and analyze designed experiments</li>
 <li>Drive sustainable change efforts through leadership, change management, and stakeholder management</li>
 <li>Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps</li>
 <li>Explain the main concepts of Design for Six Sigma including QFD</li>
 </ul><section>
                    <h3>Introduction: DMAIC Review</h3> <ul>  <li>IIL Black Belt Certification Requirements</li>  <li>Review Project Selection</li>  <li>Review Define</li>  <li>Review Measure</li>  <li>Review Analyze</li>  <li>Review Improve</li>  <li>Review Control</li>  </ul>  <h3>Introduction: Minitab Tool</h3> <ul>  <li>Introduction to Minitab</li>  <li>Minitab basic statistics and graphs</li>  <li>Special features</li>  <li>Overview of Minitab menus</li>  </ul>  <h3>Introduction: Sampling</h3> <ul>  <li>The Central Limit Theorem</li>  <li>Confidence Interval of the mean</li>  <li>Sample size for continuous data (mean)</li>  <li>Confidence Interval for proportions</li>  <li>Sample size for discrete data (proportions)</li>  <li>Sampling strategies (review)</li>  <li>Appendix: CI and sample size for confidence levels other than 95%</li>  </ul>  <h3>Hypothesis Testing: Introduction</h3> <ul>  <li>Why use advanced stat tools?</li>  <li>What are hypothesis tests?</li>  <li>The seven steps of hypothesis tests</li>  <li>P value errors and hypothesis tests</li>  </ul>  <h3>Hypothesis Testing: Tests for Averages</h3> <ul>  <li>1 factor ANOVA and ANOM</li>  <li>Main Effect Plots, Interaction Plots, and Multi-Vari Charts</li>  <li>2 factor ANOVA and ANOM</li>  </ul>  <h3>Hypothesis Testing: Tests for Standard Deviations</h3> <ul>  <li>Testing for equal variance</li>  <li>Testing for normality</li>  <li>Choosing the right hypothesis test</li>  </ul>  <h3>Hypothesis Testing: Chi Square and Other Hypothesis Test</h3> <ul>  <li>Chi-square test for 1 factor</li>  <li>ANOM test for 1 factor</li>  <li>Chi-square test for 2 factors</li>  <li>Exercise hypothesis tests - shipping</li>  <li>Non-parametric tests</li>  </ul>  <h3>Analysis: Advanced Control Charts</h3> <ul>  <li>Review of Common Cause and Special Cause Variation</li>  <li>Review of the Individuals Control Charts</li>  <li>How to calculate Control Limits</li>  <li>Four additional tests for Special Causes</li>  <li>Control Limits after Process Change</li>  <li>Discrete Data Control Charts</li>  <li>Control Charts for Discrete Proportion Data</li>  <li>Control Charts for Discrete Count Data</li>  <li>Control Charts for High Volume Processes with Continuous Data</li>  </ul>  <h3>Analysis: Non-Normal Data</h3> <ul>  <li>Test for normal distribution</li>  <li>Box-Cox Transformation</li>  <li>Box-Cox Transformation for Individuals Control Charts</li>  </ul>  <h3>Analysis: Time Series Analysis</h3> <ul>  <li>Introduction to Time Series Analysis</li>  <li>Decomposition</li>  <li>Smoothing: Moving Average</li>  <li>Smoothing: EWMA</li>  </ul>  <h3>Analysis: Process Capability</h3> <ul>  <li>Process capability</li>  <li>Discrete Data: Defect metrics</li>  <li>Discrete Data: Yield metrics</li>  <li>Process Capability for Continuous Data: Sigma Value</li>  <li>Short- and long-term capabilities</li>  <li>Cp, Cpk, Pp, Ppk capability indices</li>  </ul>  <h3>Analysis: Measurement System Analysis</h3> <ul>  <li>What is Measurement System Analysis?</li>  <li>What defines a good measurement system?</li>  <li>Gage R&amp;R Studies</li>  <li>Attribute / Discrete Gage R&amp;R</li>  <li>Continuous Gage R&amp;R</li>  </ul>  <h3>Regression Analysis: Simple Correlation</h3> <ul>  <li>Correlation Coefficient</li>  <li>Simple linear regression</li>  <li>Checking the fit of the Regression Model</li>  <li>Leverage and influence analysis</li>  <li>Correlation and regression pitfalls</li>  </ul>  <h3>Regression Analysis: Multiple Regression Analysis</h3> <ul>  <li>Introduction to Multiple Regression</li>  <li>Multicollinearity</li>  <li>Multiple Regression vs. Simple Linear Regression</li>  </ul>  <h3>Regression Analysis: Multiple Regression Analysis with Discrete Xs</h3> <ul>  <li>Introduction</li>  <li>Creating indicator variables</li>  <li>Method 1: Going straight to the intercepts</li>  <li>Method 2: Testing for differences in intercepts</li>  </ul>  <h3>Logistic Regression: Logistic Regression</h3> <ul>  <li>Introduction to Logistic Regression</li>  <li>Logistic Regression - Adding a Discrete X</li>  </ul>  <h3>Design of Experiments: Introduction</h3> <ul>  <li>Design of Experiment</li>  <li>OFAT experimentation</li>  <li>Full factorial design</li>  <li>Fractional factorial design</li>  <li>DOE road map, hints, and suggestions</li>  </ul>  <h3>Design of Experiments: Full Factorial Designs</h3> <ul>  <li>Creating 2k Full Factorial designs in Minitab</li>  <li>Randomization</li>  <li>Replicates and repetitions</li>  <li>Analysis of results: Factorial plots</li>  <li>Analysis of results: Factorial design</li>  <li>Analysis of results: Fits and Residuals</li>  <li>Analysis of results: Response Optimizer</li>  <li>Analysis of results: Review</li>  </ul>  <h3>Design of Experiments: Pragmatic Approaches</h3> <ul>  <li>Designs with no replication</li>  <li>Fractional factorial designs</li>  <li>Screening Design of Experiment Case Study Repair Time</li>  <li>Blocking</li>  </ul>  <h3>Closing: Organizational Change Management</h3> <ul>  <li>Organizational change management</li>  <li>Assuring project sponsorship</li>  <li>Emphasizing shared need for change</li>  <li>Mobilizing stakeholder commitment</li>  </ul>  <h3>Closing: Project Management for Lean Six Sigma</h3> <ul>  <li>Introduction to project management</li>  <li>Project management for Lean Six Sigma</li>  <li>The project baseline plan</li>  <li>Work Breakdown Structure (WBS)</li>  <li>Resource planning</li>  <li>Project budget</li>  <li>Project risk</li>  <li>Project schedule</li>  <li>Project executing</li>  <li>Project monitoring and controlling and Closing</li>  </ul>  <h3>Closing: Design for Lean Six Sigma</h3> <ul>  <li>Introduction to Design for Lean Six Sigma (DMADV)</li>  <li>Introduction to Quality Function Deployment (QFD)</li>  </ul>  <h3>Summary and Next Steps</h3> <ul>  <li>IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)</li>  </ul>


                </section>

Lean Six Sigma Black Belt Certification Program: Virtual In-House Training
This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners.
If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others.
Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course.
What you Will Learn
At the end of this program, you will be able to:
Use Minitab for advanced data analysis
Develop appropriate sampling strategies
Analyze differences between samples using Hypothesis Tests
Apply Statistical Process Control to differentiate common cause and special cause variation
Explain and apply various process capability metrics
Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data
Conduct and analyze simple and multiple regression analysis
Plan, execute, and analyze designed experiments
Drive sustainable change efforts through leadership, change management, and stakeholder management
Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps
Explain the main concepts of Design for Six Sigma including QFD
Introduction: DMAIC Review
IIL Black Belt Certification Requirements
Review Project Selection
Review Define
Review Measure
Review Analyze
Review Improve
Review Control
Introduction: Minitab Tool
Introduction to Minitab
Minitab basic statistics and graphs
Special features
Overview of Minitab menus
Introduction: Sampling
The Central Limit Theorem
Confidence Interval of the mean
Sample size for continuous data (mean)
Confidence Interval for proportions
Sample size for discrete data (proportions)
Sampling strategies (review)
Appendix: CI and sample size for confidence levels other than 95%
Hypothesis Testing: Introduction
Why use advanced stat tools?
What are hypothesis tests?
The seven steps of hypothesis tests
P value errors and hypothesis tests
Hypothesis Testing: Tests for Averages
1 factor ANOVA and ANOM
Main Effect Plots, Interaction Plots, and Multi-Vari Charts
2 factor ANOVA and ANOM
Hypothesis Testing: Tests for Standard Deviations
Testing for equal variance
Testing for normality
Choosing the right hypothesis test
Hypothesis Testing: Chi Square and Other Hypothesis Test
Chi-square test for 1 factor
ANOM test for 1 factor
Chi-square test for 2 factors
Exercise hypothesis tests - shipping
Non-parametric tests
Analysis: Advanced Control Charts
Review of Common Cause and Special Cause Variation
Review of the Individuals Control Charts
How to calculate Control Limits
Four additional tests for Special Causes
Control Limits after Process Change
Discrete Data Control Charts
Control Charts for Discrete Proportion Data
Control Charts for Discrete Count Data
Control Charts for High Volume Processes with Continuous Data
Analysis: Non-Normal Data
Test for normal distribution
Box-Cox Transformation
Box-Cox Transformation for Individuals Control Charts
Analysis: Time Series Analysis
Introduction to Time Series Analysis
Decomposition
Smoothing: Moving Average
Smoothing: EWMA
Analysis: Process Capability
Process capability
Discrete Data: Defect metrics
Discrete Data: Yield metrics
Process Capability for Continuous Data: Sigma Value
Short- and long-term capabilities
Cp, Cpk, Pp, Ppk capability indices
Analysis: Measurement System Analysis
What is Measurement System Analysis?
What defines a good measurement system?
Gage R&R Studies
Attribute / Discrete Gage R&R
Continuous Gage R&R
Regression Analysis: Simple Correlation
Correlation Coefficient
Simple linear regression
Checking the fit of the Regression Model
Leverage and influence analysis
Correlation and regression pitfalls
Regression Analysis: Multiple Regression Analysis
Introduction to Multiple Regression
Multicollinearity
Multiple Regression vs. Simple Linear Regression
Regression Analysis: Multiple Regression Analysis with Discrete Xs
Introduction
Creating indicator variables
Method 1: Going straight to the intercepts
Method 2: Testing for differences in intercepts
Logistic Regression: Logistic Regression
Introduction to Logistic Regression
Logistic Regression - Adding a Discrete X
Design of Experiments: Introduction
Design of Experiment
OFAT experimentation
Full factorial design
Fractional factorial design
DOE road map, hints, and suggestions
Design of Experiments: Full Factorial Designs
Creating 2k Full Factorial designs in Minitab
Randomization
Replicates and repetitions
Analysis of results: Factorial plots
Analysis of results: Factorial design
Analysis of results: Fits and Residuals
Analysis of results: Response Optimizer
Analysis of results: Review
Design of Experiments: Pragmatic Approaches
Designs with no replication
Fractional factorial designs
Screening Design of Experiment Case Study Repair Time
Blocking
Closing: Organizational Change Management
Organizational change management
Assuring project sponsorship
Emphasizing shared need for change
Mobilizing stakeholder commitment
Closing: Project Management for Lean Six Sigma
Introduction to project management
Project management for Lean Six Sigma
The project baseline plan
Work Breakdown Structure (WBS)
Resource planning
Project budget
Project risk
Project schedule
Project executing
Project monitoring and controlling and Closing
Closing: Design for Lean Six Sigma
Introduction to Design for Lean Six Sigma (DMADV)
Introduction to Quality Function Deployment (QFD)
Summary and Next Steps
IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Lean Six Sigma Black Belt Certification Program: Virtual In-House Training

<h2>Lean Six Sigma Green Belt Certification Program: Virtual In-House Training</h2>
 <p>This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills.</p>
 <p>Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions.</p><h3>What you Will Learn</h3>
 <p>At the end of this program, you will be able to:</p>
 <ul>
 <li>Identify strategies for effectively leading high performing process improvement teams</li>
 <li>Analyze whether projects align with business strategy</li>
 <li>Apply process improvement methodologies to DMAIC steps, based on real world scenarios</li>
 <li>Explain ways to appropriately respond to process variation</li>
 <li>Distinguish among best practice problem solving methodologies</li>
 <li>Evaluate and effectively communicate data-driven decisions, based on real world scenarios</li>
 </ul><section>
                    <h3>Introduction</h3> <ul>  <li>Lean Six Sigma &amp; quality</li>  <li>The vision</li>  <li>The methodologies</li>  <li>The metric</li>  </ul>  <h3>Project Selection</h3> <ul>  <li>Why Projects</li>  <li>Random idea generation</li>  <li>Targeted idea generation</li>  <li>CTQs (Critical to Quality) &amp; projects</li>  <li>Project screening criteria</li>  <li>Quick improvements</li>  </ul>  <h3>Introduction to Define</h3> <h3>Project Planning</h3> <ul>  <li>Developing the core charter</li>  <li>Developing a project charter</li>  <li>Facilitation</li>  </ul>  <h3>Process Management</h3> <ul>  <li>Business process management</li>  <li>Top-down process mapping</li>  </ul>  <h3>Voice of the Customer</h3> <ul>  <li>Voice of Customer</li>  <li>Stakeholder analysis</li>  <li>Communication planning</li>  <li>Kicking off the project</li>  </ul>  <h3>Define Summary</h3> <h3>Introduction to Measure</h3> <h3>Data Collection</h3> <ul>  <li>Fact-based decision making</li>  <li>Data sampling</li>  <li>Operations definitions</li>  <li>Data collection plan</li>  <li>Measurement system analysis</li>  </ul>  <h3>Graphical Statistics for Continuous Data</h3> <ul>  <li>Meet Six SigmaXL</li>  <li>Graphical &amp; statistical tools</li>  <li>Data stratification</li>  </ul>  <h3>Graphical Statistics for Discrete Data</h3> <ul>  <li>Pareto analysis</li>  <li>Dot plots</li>  <li>Plotting data over time: Looking for patterns</li>  </ul>  <h3>Variation Concepts</h3> <ul>  <li>Variation is reality</li>  <li>Special Cause and Common Cause variation</li>  <li>Example of standard business reporting</li>  <li>Individuals Control Chart</li>  </ul>  <h3>Process Capability</h3> <ul>  <li>Genesis of process capability</li>  <li>Calculating the metrics of Six Sigma</li>  <li>Yield metrics: Measuring process efficiency</li>  </ul>  <h3>Cost of Poor Quality</h3> <ul>  <li>The Cost of Poor Quality (COPQ)</li>  <li>Cost of Quality categories</li>  <li>Calculating the Cost of Poor Quality</li>  </ul>  <h3>Measure Summary</h3> <h3>Introduction to Analyze</h3> <h3>Process Analysis</h3> <ul>  <li>Introduction to process analysis</li>  <li>Value-added analysis</li>  <li>Cycle time analysis</li>  <li>WIP &amp; pull systems</li>  <li>Analyzing bottlenecks and constraints</li>  </ul>  <h3>Cause &amp; Effect Analysis</h3> <ul>  <li>Fishbone/Ishikawa diagram</li>  <li>5-Whys analysis</li>  <li>Graphical &amp; statistical tools</li>  </ul>  <h3>Advanced Analysis</h3> <ul>  <li>Why use hypothesis rests?</li>  <li>Hypothesis tests</li>  <li>Correlation and regression analysis</li>  </ul>  <h3>Analyze Summary</h3> <h3>Introduction to Improve</h3> <h3>Solutions</h3> <ul>  <li>Creativity techniques</li>  <li>Generating alternative solutions</li>  <li>Solution selection techniques</li>  </ul>  <h3>Introduction to Design of Experiments</h3> <ul>  <li>Introduction to DOE</li>  <li>DOE activity</li>  </ul>  <h3>Error Proofing</h3> <ul>  <li>Failure mode &amp; effect analysis</li>  <li>Poka-Yoke</li>  </ul>  <h3>Project Management Fundamentals</h3> <ul>  <li>Successful teams</li>  <li>Project roles</li>  <li>Conflict management</li>  </ul>  <h3>Standardization</h3> <ul>  <li>Standardization</li>  <li>The Visual Workplace</li>  <li>5S</li>  </ul>  <h3>Piloting &amp; Verifying Results</h3> <ul>  <li>What is a pilot?</li>  <li>Evaluating results</li>  </ul>  <h3>Improve Summary</h3> <h3>Introduction to Control</h3> <h3>Statistical Process Control</h3> <ul>  <li>Review of Special &amp; Common Cause variation</li>  <li>Review of Individual Control Chart</li>  <li>P-Chart for discrete proportion data</li>  </ul>  <h3>Transition Planning</h3> <ul>  <li>Control plan</li>  <li>Project closure</li>  </ul>  <h3>Control Summary</h3> <h3>Summary and Next Steps</h3>


                </section>

Lean Six Sigma Green Belt Certification Program: Virtual In-House Training
This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills.
Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions.
What you Will Learn
At the end of this program, you will be able to:
Identify strategies for effectively leading high performing process improvement teams
Analyze whether projects align with business strategy
Apply process improvement methodologies to DMAIC steps, based on real world scenarios
Explain ways to appropriately respond to process variation
Distinguish among best practice problem solving methodologies
Evaluate and effectively communicate data-driven decisions, based on real world scenarios
Introduction
Lean Six Sigma & quality
The vision
The methodologies
The metric
Project Selection
Why Projects
Random idea generation
Targeted idea generation
CTQs (Critical to Quality) & projects
Project screening criteria
Quick improvements
Introduction to Define
Project Planning
Developing the core charter
Developing a project charter
Facilitation
Process Management
Business process management
Top-down process mapping
Voice of the Customer
Voice of Customer
Stakeholder analysis
Communication planning
Kicking off the project
Define Summary
Introduction to Measure
Data Collection
Fact-based decision making
Data sampling
Operations definitions
Data collection plan
Measurement system analysis
Graphical Statistics for Continuous Data
Meet Six SigmaXL
Graphical & statistical tools
Data stratification
Graphical Statistics for Discrete Data
Pareto analysis
Dot plots
Plotting data over time: Looking for patterns
Variation Concepts
Variation is reality
Special Cause and Common Cause variation
Example of standard business reporting
Individuals Control Chart
Process Capability
Genesis of process capability
Calculating the metrics of Six Sigma
Yield metrics: Measuring process efficiency
Cost of Poor Quality
The Cost of Poor Quality (COPQ)
Cost of Quality categories
Calculating the Cost of Poor Quality
Measure Summary
Introduction to Analyze
Process Analysis
Introduction to process analysis
Value-added analysis
Cycle time analysis
WIP & pull systems
Analyzing bottlenecks and constraints
Cause & Effect Analysis
Fishbone/Ishikawa diagram
5-Whys analysis
Graphical & statistical tools
Advanced Analysis
Why use hypothesis rests?
Hypothesis tests
Correlation and regression analysis
Analyze Summary
Introduction to Improve
Solutions
Creativity techniques
Generating alternative solutions
Solution selection techniques
Introduction to Design of Experiments
Introduction to DOE
DOE activity
Error Proofing
Failure mode & effect analysis
Poka-Yoke
Project Management Fundamentals
Successful teams
Project roles
Conflict management
Standardization
Standardization
The Visual Workplace
5S
Piloting & Verifying Results
What is a pilot?
Evaluating results
Improve Summary
Introduction to Control
Statistical Process Control
Review of Special & Common Cause variation
Review of Individual Control Chart
P-Chart for discrete proportion data
Transition Planning
Control plan
Project closure
Control Summary
Summary and Next Steps

Educators providing Lean courses in Calne delivered Live Online