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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)

Lean Six Sigma Black Belt Certification Program 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)

About this Training Course Managing process hazards in the hydrocarbon and chemical processing industries is a critical function that requires relevant knowledge and skills due to the risks involved. The Advanced Process Safety Engineering course will discuss the interrelation of the various techniques of process safety for analysing, with a particular emphasis on engineering design aspects, as well as how to manage process hazards in a safe and effective way and how they can potentially be avoided. In this 3 full-day advanced level course, the expert course leader will provide participants with insights and examples from his career and experience to show how their learning should be applied in real-life situations. Feedback and questioning is highly encouraged. Reference material and reports can be provided to give more information on any particular topic of interest. Individual and group exercises, tutored exercises and video case studies will be provided throughout the course to underpin the key learning points. Training Objectives Upon completion of this course, participants will acquire in-depth knowledge of: Risk management and 'As Low as Reasonably Practicable' (ALARP) principles. Different aspects of process design that influence process safety. Approach to 'inherently safer' design. Defence in depth using 'layers of protection'. Process for ensuring the technical integrity of safety-critical equipment. Hazards associated with process materials. Range of hazard identification and consequence modelling techniques. Causes and mitigation of human error. Reliability and availability of safety-critical protection equipment. Role of engineered safety-critical equipment and systems. Target Audience This course is suitable for industry professionals who need to acquire a comprehensive understanding of process safety. This includes those who are required to make managerial decisions where process safety is a key consideration, those who are moving into process safety positions or those who wish to broaden their process safety knowledge within their existing discipline. It is particularly suited for anyone involved in the design, operation, modification or maintenance of a major hazard installation, and will demonstrate a substantial understanding of process safety for those engaged in Continuous Professional Development or aiming for Chartered Engineer status. This course will benefit professionals such as: Operations and maintenance supervisors Process, mechanical and chemical engineers and technicians Design engineers, project engineers and HSE managers Control, automation and instrumentation engineers Course Level Advanced Trainer Your expert course leader has 50 years' experience in chemical and process safety engineering. His early career included 20 years in design and project engineering with various fine chemical and pharmaceutical companies where he designed chemical processes, specified plant equipment and selected materials for highly corrosive and toxic processes, often where textbook data was not available. This was followed by 10 years in offshore oil and gas design projects where he was responsible for setting up a Technical Safety group to change design safety practices in the aftermath of the 1988 Piper Alpha disaster. In recent years, he has been called upon to conduct various offshore and onshore incident investigations. His career has given him experience in project engineering, project management, process design and operations, safety engineering and risk management. He is a Fellow of the UK Institution of Chemical Engineers. He served on the Scottish Branch committee, and was elected chairman for a two-year term in 1991. He has also been chairman of the Safety and Reliability Society - North of Scotland Branch. He has delivered training courses in Process Hazard Analysis (HAZOP and HAZID), Process Safety Management, Hazard Awareness, Risk Assessment, Root Cause Analysis, Failure Modes & Effect Analysis and has lectured on Reliability Analysis to the M.Sc. course in Process Safety and Loss Prevention at Sheffield University. In addition to delivering training courses, he currently facilitates HAZOP / HAZID / LOPA studies and undertakes expert witness roles advising lawyers engaged in contractual disputes, usually involving the design or construction of chemical plants or Oil & Gas production facilities, or criminal prosecutions. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

If you want to improve your or your team ability to lead a team successfully, feel free to check out my Training course focusing on the keys to success to effective Leadership.

CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.

This interactive programme will use the topic of equity, diversity, and inclusion to illustrate the problem of unconscious bias and the practical solutions to overcome it. The programme will provide the opportunity for self-reflection, open discussion, and training on some of the softer skills to maximise objectivity in the workplace.

COURSE DESCRIPTION: BAG AND ACCESSORY DESIGN MASTERCLASSThis course is tailored for beginners and intermediate-level participants, offering a distinctive group class format designed to assist aspiring designers or those seeking guidance in bringing to life a practical and viable collection of bags and/or accessories.Through this course, you will gain a comprehensive grasp of fundamental skills in accessory design and what it requires to become a bag designer. It empowers you to transform your creative concepts into tangible realities by providing instruction on the essential steps required for prototyping and manufacturing your collection.In addition to acquiring the skills to design bags and accessories accurately and understanding what information to convey to a prototype maker, this course will guide you through the process of creating patterns and constructing a three-dimensional mock-up for one your design. WHY THIS COURSE DIFFERS FROM THE TYPICAL ‘ACCESSORY DESIGN’ PROGRAMMEThis course has been meticulously designed by a team comprising designers, prototype makers, and handbag manufacturers. It offers a blend of theoretical and practical elements, providing you with the knowledge required by the industry to comprehend and accurately translate your ideas into finished products.Unlike courses that solely focus on creating aesthetically pleasing drawings, this programme emphasizes providing a comprehensive understanding of the intricate and extensive processes involved in designing a collection of handbags. It aims to equip you with the insights necessary to navigate the complexities, ensuring you are well-prepared before and during the design phase. By doing so, the course aims to save you time, expense, and potential frustration when it comes to prototyping and manufacturing your collection.This intensive course will equip you with the skills to potentially save thousands of pounds on product development for your designs and the assistance needed to make your project viable for construction.WHY WE DEVELOPED A FASHION DESIGN COURSEAfter years of designing and developing collections for our clients, we noticed a significant lack of clear information on what it truly takes to become a designer of handbags and fashion accessories.This course is crafted to assist both emerging and struggling designers in developing and articulating their ideas effectively for the prototyping phase. It addresses the needs and challenges faced by our customers, aiming to support and streamline the creative process for project realization. WHO IS THIS COURSE FOR?This course is tailored for aspiring designers seeking professional advice from industry experts, individuals at the beginning of their design careers who require guidance to enhance their design process, or those simply looking to refine their drawing techniques for personal enjoyment.No previous experience is necessary. WHAT WILL BE TAUGHT?Below is a list of topics covered during the classes:Understanding the role of a bag designerBefore designing: understanding and analsing crucial external aspects that will influence your business successAbout your business idea and profile: understanding the target audience, market placement, pricing strategy and moreUnderstanding what a moodboard is and how to use itUnderstanding the differences and purposes of illustrations vs technical drawingsUnderstanding the importance of construction and its impact on your designOverview of the anatomy of a handbag, lining and reinforcementsUnderstanding the structure of a collection: the use of a collection planLearning how to plan a balanced collection of fashion accessoriesUnderstanding finishing options for your designsUnderstanding hardware and its impact on the cost price of your collectionOverview of leather and vegan leatherIdentifying the right materials for your collectionLearning how to draw three-dimensional bagsSketching technical drawingsGoing through the product development of three designsDeveloping patterns and realising 1 three-dimensional mock-up of a bagProviding technical information about your collection to the prototype makerUnderstanding the prototyping processManufacturing your collection: how it works and what the options are. HOW WILL THE CLASS BE TAUGHT?The class will take place in person at our London studio, and the lessons will alternate between theoretical instruction and practical exercises.Some homework will be assigned to students between lessons. HOW LONG IS THIS TUITION?:This course spans an entire week, running from Monday to Friday, 10 am to 5 pm, with a 30-minute lunch break. INCLUDED IN THE COURSE:You will also receive access to a collection of handouts providing relevant information, useful resources and support in continuing your designing process independently.The handouts will contain:– A glossary containing essential key words related to the topic of the lesson– An illustrated glossary containing information about type of bags and bags’ features– An illustrated guide on common hardware used in bags and accessories– Documents about leather types, finishings, tanning processes– Information about perspective and guides to be used as reference to develop your drawings– A list of recommended suppliers for both leather and fittings (physically in London and online) WHAT ARE THE ENTRY REQUIREMENTS?You should be able to use measurements and understand verbal and written English instructions. ARE THERE ANY OTHER COSTS? IS THERE ANYTHING I NEED TO BRING?Materials to exercise with are included.Feel free to bring a notepad, if you would like to take some notes, we will provide the rest.