Build confidence & capability and engage in meaningful dialogue about race.
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)
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.
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
Welcome to the Female Leadership Retreat - Intrinsically You! Come join us for a transformative 2 day (1 night) experience, where women come together to empower, inspire, and connect. At this leadership retreat, you'll have the opportunity to unleash your leadership potential, participate in workshops and discussions led by industry experts, and network with like-minded individuals. Embrace your authentic self and explore the leader within you in a supportive and encouraging environment. This retreat is designed to inspire growth and confidence in every attendee for women within Senior Leadership roles, Directors and Business Owners. You will be part of a small, intimate group with each retreat limited to just 10 guests. The environment will be calm, welcoming, and inclusive, with an informal and relaxed format that is supportive. The entire experience will leave you feeling energised with greater clarity, a new sense of purpose, and new personal insights, ready to fully engage with the next steps of your leadership journey. Don't miss out on this opportunity to invest in yourself and connect with a community of strong, empowered women. Join us at the all-inclusive*, Female Leadership Retreat - 'Intrinsically You' and embrace your leadership potential! *Price includes all accommodation, food and refreshments provided, use of spa facilities and training materials and a 1:1 coaching session following the event at a time to suit you. (Note: price excludes individually booked spa treatments, which can be organised directly with the venue in advance by participants.) Now is your time to step back, reflect and re-energise!
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.
CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.
About this Training Course This interactive training course and workshop session is developed to provide a catalyst for transformation of the legacy systems and adapting to the upcoming trends in the near future in the LPG supply chain. The course curriculum is based on overcoming the challenges of cost and quality enhancement. Both challenges encompass critical review of each aspect from production to transportation with safety of operations and zero loss of energy, thereby enhancing revenue. Training Objectives This course is developed to meet the needs LPG producers, Gas Tankers and Terminals operators, and fraternity of stakeholders, with the following underlying objectives: Conduct assessment of current standards and management systems in context of market forces and economics of demand and supply; Explore impact of emerging markets and user segments of LPG transiting from oil or electricity use; Identify avenues in need of production process review for enhancing the quality in terms of energy content of LPG; Evaluate current and future trends in LPG transportation and the influence of regulatory regimes and incentive schemes, for investment in Storage Terminals and distribution networks; Identify the operations and protocols to be adaptable for compliance with new regulations and trends; Establish transportation and distribution cost control mechanism at optimum level; and Develop guidelines and SOPs for contamination free transfer, loading and discharging of LPG Tankers. Target Audience This is a 'must attend' course if you are a: LPG Gas Producer Process Specialist Buyer Trader LPG Tanker Owner Charterer, and Management personnel holding responsible positions such as Director, General Manager, Commercial Manager, Business Development Manager, Legal Counsel, Post-Fixtures Manager, Fleet Manager, Marine & Technical Superintendent, Senior Engineer or Middle Level Manager as part of succession planning. Training Methods The course will be delivered in 3 full-day sessions comprising 8 hours per day. Course Duration: 3 full-day sessions, 8 hours per session (24 hours in total). Trainer Principal Management Consultant FAIADR, FACICA, FHKIoD, M.S.I.D, Member, AIPN LL.M. (IP Laws), M. Sc. (Maritime Studies) M, Tech (Knowledge Engineering), MBA First Class CoC (DOT, UK), B. E. (Elect) Your expert course leader, during the last 45 year period, has worked and consulted in the industry verticals encompassing: Marine, Shipping & Transport, Technology, Oil & Gas Exploration & Production, Petrochemical Process Plants and Power Plant Construction Projects, Logistics & Warehousing, Offshore, Oil & Gas Pipelines, Infrastructure Development Projects (Construction, Ports, Offshore Supply Bases, Oil & Gas Terminals and Airports etcetera), EPCIC Contracts, and Shipyards, in South East Asia, Africa, Middle East, Americas and Europe. He is a Principal Management Consultant in a consulting company in Hong Kong and Singapore, specializing in the fields of corporate management consultancy, international contracts reviews and alternative dispute resolutions services. He has been frequently engaged for assignments like due diligence, acquisitions, and mergers. The assignments often involved resolving various operational issues, contracts reviews, cost controls, project management matters and enhancement of international procurement and Supply Chain Management systems. He continues to be actively engaged in advisory services for Remuneration, Audit and Risk Management Committees of public companies as well as MNCs. He has developed a special initiative for conducting audits of ERM Systems (Enterprise Risk Management) and valuation of intangible properties involving proprietary processes (IP), licensed production and intellectual property rights. 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 arbitration, contracts laws, and marine engineering, including the Chief Engineer's First-Class Certificate of Competency (DOT, UK). He has been Associate, SIM University (SUSS) Singapore and taught on subjects including Business Continuity Planning and Risk Management. He has served as Director and member of Board of Management, Governance Councils and Risk Management Committees of international organizations. He is admitted to various professional institutions as: 'Fellow', Australian Centre for International Commercial Arbitration (FACICA); Asian Institute of ADR (FAIADR), Malaysia; Hong Kong Institute of Directors (FHKIoD), Member, Singapore Institute of Directors (M.S.I.D.), and Member, Association of International Petroleum Negotiators (AIPN) USA. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations