Training Session Topics
Overview of Six Sigma Methodology, Identification, Prioritization and selection of Improvement opportunities, Roles and responsibilities in Six Sigma implementation
Overview of Six Sigma Project execution (DMAIC)(Define-Measure-Analyze Improve & Control) and Gate Review Questionnaire
Development of Project Team and Charter, Define and Map Processes to be improved (SIPOC Supplier, Input, Process, Output, Customer), Identification of Critical To Customer/Critical To Business (CTQ/CTB ) characteristics, Concept of tree diagram, Voice of Customer, Concept of Quality Function Deployment
Types of Data, Statistical distributions-Binomial, Poisson and Normal; Prioritization Matrix, FMEA and their use in Data Collection Planning
Introduction to various software packages for data display & analysis like Excel, Minitab, JMP etc. Understanding in usage & interpretation of output along with each topic, Measurement System Evaluation for measurable (Gauge R&R) as well as for attribute data (Kappa Value and Confidence interval for agreement with expert); Understanding variation-Special causes vs. Common causes (like Dot Plots, Box Plots, Histogram and Control Charts), Stratification methods (like Pareto, Bar Diagrams, Stratified Dot Plot, Stratified Scatter Plot, Box Plot, Multi Vari Charts etc), Normality test of a data, and concept of confidence interval; Evaluation of Process Capability for Data, Concept of Short Term, Long Term Process Capability and assessment of Sigma level
Identification of Value-Added and Non-Value-Added activities, Value Stream Mapping (VSM) (use of lean concept), Organizing for potential causes using Cause-&-Effect diagram, FMEA & Tree Diagram; Verification/validation of causes using workplace investigation (GEMBA), Concept of correlation and Regression and use of the same in validating causes; Concept of Test of Hypothesis like 2 Sample t, Chi-Square, ANOVA etc and use of the same in validating the causes; Sample Size determination for a given confidence level; Concept of Multiple Regression and Logistic regression and use of the same in validating the causes; Concepts of Exploratory Data Analysis.
Concept of Design of experiment and details of full factorial, fractional factorial and screening designs; Generate Improvement Ideas using Creativity Techniques (Traditional & non traditional)
Lean Concepts, including Kaizen, Solution Evaluation Criteria, Evaluation of solutions and selection of solutions, Change Management Process dealing with resistance to change, Process of piloting the solutions, Risk Analysis through use of FMEA or related methodologies, Concept and Examples of Poke Yoke, Visual Workplace, Planning for full-scale implementation
Evaluation of results after implementation, Monitoring the results through statistical Process Control (like Control Charts, Pre-Control Charts etc) after implementation of the solutions, Monitoring the results as apart of established QMS, Institutionalization and integration of the solutions, Process of Closing the Project
Who can attend?
Degree / Diploma holder in any discipline with Six Sigma Green Belt certification
Participants will be certified as Black Belt after