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)
This leadership course explores the application of emotional intelligence at work as a core underpinning skill of leadership. Your emotional intelligence helps you to manage your thinking along with your emotions to make authentic decisions and build quality relationships.
The course gives you practical tools and actions to begin leading inclusively with immediate effect. You will strengthen your relationships with others, build your awareness of unconscious bias, develop your critical thinking skills, and become a senior advocate for inclusive workplace cultures. You can expect to see the results of a more inclusive culture, both internally and externally, very quickly.
FAA Level 3 Award In Supervising First Aid For Mental Health (RQF) Classroom (two day course), Virtual (6 x 2 ½ hour sessions) Gives learners knowledge of Mental Health First Aid and associated conditions This course is especially suitable for managers, supervisors and other staff that have the power to make changes in the workplace Course Contents: What is Mental Health? Why people develop mental health conditions What the role of a mental health first aider is Knowing how to provide advice and practical support Knowing how to recognise and manage stress Understand the impact of substance abuse on mental health Understand the first aid action plan for mental health and be able to put it in place Know how to implement a positive mental health culture in the workplace Recognising a range of mental health conditions: Depression Anxiety Psychosis Eating disorders Suicide Self-harm PTSD Personality disorders Bipolar disorder Schizophrenia Benefits of this course: 37% of all work-related ill-health is due to mental health problems Problems with mental health cover 45% of all working days lost A whopping 12.8 million working days, or 49, 042 years, were lost due to mental health problems in 2018/19 602,000 workers suffered from work-related stress, depression or anxiety in 2018/19 One in four people will have a mental health problem at some point during their lives Whether work is causing or aggravating mental health problems, employers have a legal responsibility towards their employees Work-related mental health issues must to be assessed to measure the levels of risk to staff Where a risk is identified, steps must be taken to remove it or reduce it as far as reasonably practicable This two day r employees' mental health and wellbeing Accredited, Ofqual regulated qualification Our Mental Health First Aid Courses are nationally recognised, Ofqual regulated qualifications accredited by First Aid Awards Ltd in association with NUCO Training. This means that you can be rest assured that your Mental Health First Aid Certificates fulfill the upcoming legal requirements and are a very good way to make sure you and your employees have a supporting workplace to deal with staff's mental health conditions. The Ofqual Register number for this course is 603/3770/9
This highly practical course is unusual because it considers emotional intelligence as a fundamental part of selling. The course doesn't cover prospecting and ways to get a sales appointment, these require the use of emotional intelligence in other ways! The course covers the way that you engage with customers before, during and after a sales meeting through the application of emotional intelligence to make authentic decisions and build quality relationships. The course provides a step-by-step approach to applying emotional intelligence principles to your sales process focusing on working with the emotions of your customer and how these influence their social interactions.
Our unique 5 day workshop prepares you for a first time pass of your CISSP exam. Covering each of the famous 8 CBK's, cram the theory before testing your knowledge during exam simulations. Led by a multi-award winning InfoSec consultant, this workshop delivers everything you need to pass,
About this Training Course The Oil & Gas E&P industry is evolving from deep sea exploration to renewable sources of energy through windfarms and solar fields offshore. In tandem, OSBs will need to evolve for sustainability and revival from stagnant traditional Supply Base Models. The changing role of OSBs is toward support services for decommissioning projects and LNG Floating Terminals. In addition, the new geographical regions of East and South Africa are coming up at a faster pace. All such operations are dependent upon a complex network of transport and supply in order to deliver the staff, materials, machinery, and crew provisions where and when needed. This 3 full-day course is curated to enhance the skills and competencies of passionate professionals to plan and organise resources, minimise turnaround time for the vessels engaged in support of Offshore E & P operations. Various hands-on exercises can equip the participants to implement viable and feasible approaches for safe and efficient management of OSBs in compliance with continuously evolving international best practices and Oil & Gas standards. This course is specially developed for investors, business owners, senior executives and professionals from the offshore & marine logistics industry, with the following objectives: To provide a firm understanding about the role of an Offshore & Marine Supply Base in support of Oil & Gas E & P fleet operations, in contrast with traditional merchant shipping logistics. To provide an in-depth knowledge about the range and diversity of services being offered by Offshore & Marine Supply Bases ('OSB') in the target regions. To equip with the knowledge and information required for taking investment decisions when venturing in Offshore E & P Sector. To introduce contemporary techniques and tools required to identify target customer segments while developing a new OSB or expanding operations of an existing OSB. To elaborate comparative management methodologies for OSB facilities and services management, based on deployment of ICT solutions so as to deliver value added services to the customers. To learn to identify methodologies for sales and distribution of services to the customers and non-paying users of the OSB. To identify relevant state legislation for licensing & governing an OSB, and enforce through contractual obligations, rights and responsibilities of the parties as clients of an OSB. To develop and implement Business Processes with built-in Performance Evaluation Metrics for achieving competitive advantage over the peers in the OSB segment. To develop and implement integrated OSB's Risk Management framework. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives Upon completion of this course, the participants will be able to: Implement and comply with the QHSSSE regulations and national or Port Controls regime for safe handling of import & export cargo and movements of the vessels. Establish role and responsibilities of the Offshore Supply Base management team. Plan and organise resources so as to minimise turnaround time for the vessels engaged in support of Offshore E & P and Windfarms operations. Plan and organise OSB cranes, vehicles, MHE, spaces and relevant facilities for storage, movement, and custody transfer of various types of solid and liquid cargo, tools, shackles, bulk materials in open yards and ships' gears. Be aware of potential emergency situations and how to respond and coordinate with relevant internal and external agencies. Manage safety of personnel of sub-contractors, stevedores', tenants, and ship crew, when engaged in OSB operations. Differentiate between various ships, technical and functional characteristics, safety requirements and potential hazards of each operation. Build competency in developing and maintaining documentary evidence for traceability for all works executed during the specific period or operation. Develop techniques for performance monitoring and continuous improvements based on lessons learned from each operation at the Base as well as from reports about peers in the similar business. Target Audience This course is intended for: Operations Management personnel from existing OSBs, Ports, Logistics & Warehouses, Offshore Fields, E & P Infrastructure Support services providers. Professionals who are interested in OSB segment of the Offshore & Marine Oil & Gas Industry. Participants who have no prior knowledge about OSB Operations and are new to the Offshore Logistics And highly recommended for: Managers, Engineers, and Professionals assigned to lead new initiatives in Logistics Management of Offshore & Marine Segments of Oil & Gas Industry. Course Level Intermediate Trainer Principal Management Consultant Chartered Valuer and Appraiser (CVA) FACICA | FAMTAC | FAIADR | M.S.I.D | Member, AIEN LL.M. (IP Law), M. Sc. (Maritime Studies), M. Tech (Knowledge Engineering), MBA, First Class CoC (MCA, UK), B. E. (Elect) Your expert course leader during the last 47 year period, has worked and consulted in the industry verticals encompassing: Technology, Oil & Gas Exploration & Production, Petrochemical Process Plants and Power Plant Construction Projects, Logistics & Warehousing, Marine, Offshore, Oil & Gas Pipelines, Infrastructure Development Projects (Ports, Offshore Supply Bases, Oil & Gas Terminals and Airports etc), EPCIC Contracts, and Shipyards, in South East Asia, Africa, Middle East, Americas and Europe. He serves as the Principal Management Consultant with a management consultancy in Hong Kong and Singapore, specialising in the fields of corporate management consultancy, international contracts reviews and alternative dispute resolutions services. He undertakes special assignments for conducting audits and valuation of intangible properties involving proprietary processes for licensed production, and licensing of intellectual property rights (IP Rights) in patents, trademarks, and industrial designs. He is frequently engaged for assignments like due diligence, acquisitions, mergers, resolving various operational issues, technology transfer and agency services contracts reviews, cost controls, and enhancement of Supply Chain Management. He has been conferred the credentials of Chartered Valuer & Appraiser (CVA) by SAC and IVAS, in accordance with the international valuation standards setting body IVSC. His consulting experience includes Charterparty Management, Business Process Re-engineering, Diversifications, Corporate Development, Marketing, Complex Project Management, Feasibility Studies, Dispute Resolutions and Market Research. He has successfully assisted Marine and offshore E & P clients in managing contractual disputes arising from various international contracts for upgrading & conversion projects. He continues to be actively engaged in claims reviews, mediation, arbitration, litigation, and expert witness related assignments, arising from international contracts and Charterparty Agreements. He graduated with a Bachelor's degree in Electrical Engineering, MBA in General Management, Master of Technology in Knowledge Engineering, Master of Science in Maritime Studies, and LL.M. (IP Law). He also holds professional qualifications in Business Valuations and Appraisers for CVA, arbitration, law, and marine engineering, including the Chief Engineer's First-Class Certificate of Competency (MCA, UK). He is further qualified and accredited as Certified International Arbitrator, Chartered Arbitrator, Sports arbitrator under CAS Rules, WIPO Neutral, Australian Communications and Media Authority (ACMA) Bargaining Code Arbitrator, Accredited Adjudicator and Accredited Mediator (Malaysia). He is admitted to the international panels of arbitrators and neutrals with WIPO, Geneva; ACICA, AMTAC and ACMA, Australia; BVIAC (British Virgin Islands); JIAC (Jamaica); HKIAC Hong Kong; AIAC, Malaysia; AIADR, Malaysia; KCAB, Seoul, South Korea; ICA, Delhi, India; ICC (Singapore); SISV, Singapore; SCMA, Singapore; SCCA, Saudi Arabia; VIAC Vienna, Austria; Thailand Arbitration Centre (THAC), and Mediator with AIAC Malaysia, CMC, and SIMI Singapore. 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