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Lean Six Sigma Black Belt : 16 Days

Overview
This programme includes training on the advanced (statistical) tools required to execute the full range of Lean Six Sigma DMAIC projects. Practical exercises are incorporated to provide relevant scenarios for delegates. During these modules each delegate will be required to use MINITAB™ Statistical Software will be used. No prior knowledge of Minitab is needed. If a delegate does not have access to Minitab a demo version license can be provided. Candidates will need to bring a lap top

Course Outline
Lean Six Sigma Foundation Introduces the Lean Six Sigma principles and methodology. Delegates then cover the Define, Measure, Analyse, Improve, Control [DMAIC] phases in depth including: change management; project definition; charters; stakeholder analysis; process mapping; voice of the customer; Critical-To-Quality (CTQ); input/output measures; data collection; control charts; root cause analysis and basic non-statistical tools. Lean techniques including Value Stream Maps, 6S(includes Safety). Individual and team exercises are used to reinforce learnings.

Change Management Covers the human element in change management. Looking at what is required to lead successful Lean Six Sigma projects. Topics included in this module include change management, team building, and conflict resolution.

Stats Tools 1
Topics include an Introduction to MINITAB™ software followed by Normality (Central Limit Theorem, P-values, Transforming Data), Sampling (Random and Process Sampling, Determining Sample Sizes, Selecting Samples), Measurement System Analysis (Data Types, Gauge R&R, Attribute Agreement Analysis) and Introduction to Hypothesis Tests (Z- and t-tests).

Stats Tools 2
Topics include Hypothesis Tests (Analysis of Variance and Chi-Square Tests), Regression (Simple, Multiple, Binary Logistic), Control Charts (Continuous and Attribute Data Charts), Process Sigma (Short- and Long-Term Sigma, Determining Process Shift, Improvement Strategies) and an introduction to Designed Experiments (Full and Fractional Factorial Designs).

Black Belt Advanced Tools
Covers more advanced statistical analysis tools. Looking at the initial project charter development through to a designed experiment. Subsequent advanced training in regression analysis (with indicator variables, curvilinear regression and logistic regression), hypothesis testing (non-parametric),control charts (non-Shewhart) and Design of Experiments (Taguchi) complete this module.

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