Lean Six Sigma Black Belt Practitioner

Introduction

Lean and Six Sigma, both proven business improvement approaches, provide businesses with the ability to maximise customer, employee and shareholder value by minimising process variation and waste. This twenty day course provides delegates with the necessary tools and techniques to lead and deliver Lean Six Sigma projects. The course uses a blend of theory and practical exercises to develop the confidence of delegates to deliver their own improvement project and provides a real opportunity to deliver realisable quick wins. This is achieved through the delivery of a live business project which should be identified prior to the commencement of training. A period of approximately one month is left between modules to allow delegates the opportunity to progress their projects.

Objectives

This twenty day course, ran as four 5 day sessions (1 Define; 2 Measure; 3 Analyse; 4 Improve & Control), will enable delegates to become self-sufficient process improvement practitioners with the capability to analyse opportunities and deliver solutions:

• Scope improvement projects including the development of project charters.
• Determining and managing stakeholder requirements.
• Define and develop accurate and relevant measurement tools.
• Analyse business processes both quantitatively and qualitatively.
• Apply lean principles to determine customer value, determine value streams, understand flow develop pull systems and ensure perfection.
• Identify, quantify and select the most suitable solutions.
• Control business processes and understand process change through the use of statistical process control and change management skills
• Manage and mentor Green Belt projects and resources

Course Content

DEFINE

• Project Charter
• Stakeholder analysis and mapping
• Communications plan
• Kano analysis
• Process capability
• Cost of Poor Quality
• Hidden factory
• Critical to quality
• SIPOC
• Quality function deployment (QFD)
• Reactive voice of the customer
• Customer experience mapping
• Project management and tracking

MEASURE

• Introduction to Minitab
• Rational sub-grouping
• Data collection techniques
• Yield and lean metrics
• Metric considerations
• Work measurement
• Base-lining (continuous and discrete)
• Value stream & current state mapping

ANALYSE

• Inferential statistics
• Sampling
• Confidence intervals
• Process flow charts
• Process and waste analysis
• Value add & value stream analysis
• Gap analysis
• Hypothesis testing
• Data manipulation and data transformation
• Descriptive statistics
• Data types
• Simple, multi-linear, best-subsets and logistic regression analysis
• MSA theory and MSA in Minitab
• Analysis of Variance (ANOVA)
• Cause and effect analysis
• Failure and value demand
• Failure modes and effects analysis (FMEA)
• Sampling theory, plan, size and risk
• Design of experiments overview, techniques and pitfalls
• Response surface experiments