With growing businesses, geographical expansions, and close competitiveness, it has become a need to seek accurate input and use it correctly to benchmark, analyze and draw conclusions. While business objectives are often brainstormed in board meetings and leadership forums, it is often observed that there is a void in how they are translated to organizational capability, benchmark and process performance. An organization cannot grow without carrying the success baton of its robust processes – especially those that are meant to deliver a desired output repeatedly. Thus, the need translates to having practices that can help ensure organizational capability, well-controlled processes and reduced defects in operations/actions being carried out. The corporate success saga recognizes the Six Sigma methodology to contribute to achieving desired results.
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Subjects
Black Belt
Project
Design
Testing
Lean
Six Sigma
Course programme
"COURSE OVERVIEW
Six Sigma methodology and DMAIC process
Highlights role of Black Belt and other team members for successful implementation
Project selection and defining techniques for maximum impact
How to convert practical problem to statistical problem and derive statistical solution then convert it to practical solution for implementation
Project management techniques - How to present your project, project closure and key to successful transition
How to use Minitab for statistical analysis
COURSE OUTLINE
Project Charter, VOC to CTQs, Kano Model, SIPOC
Process Capability, Segmentation & Stratification
Measurement System Analysis (Gage & Attribute R&R)
Box Plot, Rolled Through Put Yield, Process Map Analysis
Pareto, Concept of Lean, C&I Matrix, Hypothesis Testing
Correlation, TRIZ, C&B Matrix, Mistake Proofing, FMEA
Process Management Charts, SPC, Response Plan
Fishbone Diagram, Data Collection Plan Normality Study
Run Chart, Control Chart, Sampling Strategy, Regression
Hypothesis - Formation, Alpha and Beta Risks; Test of Means, Variances, Ratios
Hypothesis Testing of One Y,X pair: Chi Square, ANOVA (Analysis of Variance)
Analysis of Multiple Variables: Concept of Rational Sub grouping, ANOVA (Analysis of Variance)
Case study on Hypothesis testing - Concept of Statistical test flow chart
Screen Potential Causes - Design of Experiments
Significance of DOE (Design of Experiments) to causation
DOE Terminology: Main Effects; Interactions; Factors; Settings; Factorial Designs; Degrees of Freedom
Introduction to Factorial Design- Full and Fractional Factorial
Factors and Output; DOE requirements; Setting up a DOE study - understanding Alias Table
Main Effects Plot; Interactions Plot, Pareto with Confidence Intervals, significance of Standardized effect
Change Management Tools like A-RM-I, GRPI, Stakeholder Analysis, Elevator Speech, Threat and opportunity"