Lean Six-sigma Yellow, Green And Black Belt

Lean Six-sigma Yellow, Green And Black Belt

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

Separate Module Of Dfss And Doe Training Programs

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.