| Quality And Lean | Define Phase |
|---|---|
| Approach of Quality Manufacturing Excellence and World Class Production/ Services An Introduction to Lean Six Sigma (6σ) Lean Aspect in Industry and Management Techniques of Lean Manufacturing Details of 7QC Tools SERVQUAL model (compare service quality performance with customer service quality needs) Concept of Six Sigma Six sigma Techniques, system and managerial approach DMAIC, DMADV and DFSS Basis of X Selection / Project CTx, and x is variables Kano Model Methodology of Six Sigma Lean Six Sigma Principles Reduce variation and increase standardization Define the Project | Tools and techniques in Define Phase Project Charter Business case Goal Statement Project Team Project Scope – Milestone & Time Line Roles / Target & Philosophies of the Project Communication / Planning Process Map – SIPOC, COPIES Techniques, Measurement etc. For Role, Responsibility and Communication: AMRI |
| Measure Phase | Analysis Phase |
|---|---|
| MSA – Measurement of System for Analysis DCP – Data Collection Plan Performance Production, Productivity Defects and Deviations in Specifications Process Flowchart DMAIC Measure - Types of Data Data Collection Strategy - Sampling Data Collection Plan/ Example Process Capability Variation / Discrete vs Continuous Thinking Benchmarking Measurement System Analysis/ Gage R&R Process Sigma Calculation Various Testing Procedures Process Capability (Cp, Cpk) and Process Performance (Pp, Ppk) | Histogram Pareto Chart Time Series/Run Chart Scatter Plot Regression Analysis Cause and Effect/Fishbone Diagram 5 Whys/ A3 & 8D Process Map Review and Analysis Statistical Analysis Hypothesis Testing (Continuous and Discrete) Non-Normal Data Analysis |
| Improvement Phase | Control Phase |
|---|---|
| Pilot Solution Implementation Brainstorming Mistake Proofing Design of Experiments Pugh Matrix Conduct Cost-Benefit Analysis QFD/ House of Quality Failure Modes and Effects Analysis (FMEA) Simulation Parameters and Software | Confirmation of Improvement Confirmation you solved the practical problem Benefit validation Buy into the Control plan Quality plan implementation Procedural changes System changes Statistical process control implementation “Mistake-proofing” the process Closure documentation |
Training Content and Scope of the Study
| Concept of DFSS as per LSS Six sigma Techniques, system and managerial approach DMAIC, DMADV and DFSS Statistical methods for process improvement and Process Control SPC and Concept of 7QC, 7M and 7 SUPP Other Areas as per Training Progress | Concept of Measurement Data and Statistical Analysis of Data Statistical Analysis Method How to present the final results (bar charts, contour plots, tables, etc…) and how to interpret them Basic principle of Design of Experiments |
| Fundamentals of Design of Experiments
Classical DoE
Process of Design Testing and Results
Factors as per Taguchi, Major Approaches to DOE
Factorial Design Taguchi Method Response Surface Design |
Basic concepts of hypothesis testing, p-test, t-test,
z-test, Ch-square and Annova
Understand Experimental Analysis: Main and
Interactive effects, Experimental Error, Normal
Probability Plots, Identification of “active” efforts,
and residual analysis. Product Quality Analysis and QDF Practice and Analysis in Mini-tab Case Study etc. |
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