Six Sigma Black Belt (SSBB)

 

Introduction

Six Sigma Black Belt will help participants to understand the Six Sigma Methodology (R-DMAIC-SI), Processes and tools in detail so that they will be able to play effective role as a Six Sigma Project Lead. The participants will complete one Six Sigma project along with the training during the program and will acquire transferable problem solving skills and competence to solve and guide many problems the Six Sigma way for the Organization. Knowledge and skill obtained during the program will be of immense benefit both for the organization and the Participant.

The structured six sigma methodology and problem solving attitude, skills and tools learnt during the course can be gainfully employed in variety of technical and business situations.

Black belt is a stepping stone towards achieving Master Black Belt.

Duration: 10 days

Program Content

Introduction to Six Sigma (R-DMAIC-SI)

Recognition Phase:

  • Six Sigma for Business
  • Linking Six Sigma to Business Performance
  • Linking Six Sigma to Organizational Efficiency
  • Organisation for Six sigma
  • Business Level Dashboard
  • Project Hopper
  • Project Prioritization & Selection
  • History of Six Sigma

Define Phase:

  • Project Charter
  • Voice of Stakeholder including Customer (VoC)
  • Critical To Quality (CTQs)
  • Kano Model
  • CTQ Tree
  • Process Map

Measure Phase:

  • Data Collection Plan
  • Types of Data, Sampling Strategy
  • Measurement System Analysis
    • Concept of Accuracy and Precision
    • Bias, Linearity, Stability
    • R&R Study
  • Base lining (Time series plot, Run chart, Histogram, Normality test)
  • Process capability analysis and Process Performance (Cp, Cpk, Pp, Ppk, Defect and Defective, dpu, dpo, dpma,Yield, Rolled throughput, Sigma levels)
  • Understanding Measure phase via simulated game

 

Analyse Phase:

  • Graphical analysis (Histogram, Box plot, Run chart)
  • Problem analysis (Control charts for diagnosis)
    • Sporadic Problems
    • Chronic Problems
    • Unstable Problems
  • Process Analysis
    • BFC, AFC, DFC, OFC
    • AFC-Perceived, As-Is, Should-be, Could-be
  • Test of Hypotheses
  • Correlation and Regression analysis
  • Process FMEA
  • Pareto, Cause & Effect Diagram

Improve Phase:

  • Process FMEA- follow-up
  • Generation, evaluation & selection of solutions
  • Solution Prioritization Matrix
  • Design of Experiment
  • Implement Solutions
  • Before-After Tests

Control Phase:

  • Confirmation of Improvement
  • On-line Control
  • Control Plan
  • Confirmation of Improvement
  • Kaizen Philosophy

Standardisation and Integration Phase:

  • Validation and Documentation
  • Management System standards
  • Linking Control plan to the management system standard
  • Link good management practices to PMS, P&L Account, ERP etc.

7 QC Tools

New 7 QC Tools

Overview of LSS and DFSS

Case Studies

Benefits from the Program

  • Participants gather very detailed knowledge and skill on Six Sigma R-DMAIC-SI methodology with practical implementation in one Six Sigma project
  • Knowledge and skill gained from the Program will help the Black belts to lead Six Sigma Projects
  • The methodology, tools and techniques learnt can be applied to solve variety of business and technical problems
  • Provides knowledge and skills to progress towards achieving Master Black Belt
  • Assistance will be provided to the participants during their first Six Sigma project

 

Who should attend this Program

  • The course is designed for Professionals from the following areas:
    • Executives/ Engineers/ Staff with some background in mathematics and from any discipline of any type of industry/ trade.
    • Quality Assurance Engineers, Project Managers, Team leaders, Software Professionals, Practitioners, Software Quality Assurance team members and leads
    • Entrepreneurs and Management Teams who would like to be leads in implementation/execution of Six Sigma projects
    • Professionals who are doing research, innovations or consulting in process improvement practices

 

The course uses Minitab package to illustrate examples – however no previous knowledge of Minitab is assumed