LEAN SIX SIGMA BLACK BELT

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INTRODUCTION FOR LEAN SIX SIGMA BLACK BELT

  • Training employees as Six Sigma Black Belts will provide the valuable skills needed to tackle the toughest problems confronting your organization.
  • By coupling the proven Define, Measure, Analyze, Improve, and Control (DMAIC) problem-solving methodology with robust statistical tools, Six Sigma offers a carefully defined roadmap for achieving business process improvements.
  • Six Sigma Black Belt trainees obtain a solid understanding of the tools and methods associated with the Six Sigma approach.

 

LEARNING OUTCOME

1. Understanding what is Six Sigma
2. Understanding of process capability
3. Skill to Define, Measure, Analyze, Improve and Control (DMAIC) processes
4. Understanding of process discovery
5. An accurate system of predicting outcomes, measurable and quantifiable
6. Clear understanding of goals
7. A highly effective methodology to drastically improve processes
8. Methods to minimize variability in processes
9. Capability to maximize production by fully utilizing the potential of processes
10. Control over defects for their effective prevention
11. A highly effective quality management system
12. Smoother, faster and error-free processes

 

COURSE CONTENT

Phase 1: Define and Measure

  1. What is Six Sigma?
  2. The Journey of DMAIC
  3. Define: Project Selection
  4. Leading Effective Team
  5. Voice of Customers
  6. Process Mapping
  7. Data Collection Planning
  8. Introduction to Minitab**
  9. Graphical Tools
  10. Descriptive Statistics
  11. Measurement System Analysis
  12. Process Capability Study

Phase 2: Analyze

  1. Cause & Effect Analysis
  2. Process Variation Reduction
  3. Failure Mode & Effect Analysis
  4. Probability Distributions
  5. Sampling Distributions & Confidence Interval
  6. Multi-Vari Study
  7. Hypothesis Testing
  8. Analysis of Variance
  9. Chi-Square Test of Independence
  10. Correlation & Simple Linear Regression
  11. Advanced Linear Regression

Phase 3: Improve and Control

  1. Introduction to DOE
  2. Planning for Effective Experiments
  3. Full Factorial Design
  4. Fractional Factorial Design
  5. Screening & Modeling of Experiments
  6. Response Surface Methodology
  7. Solution Identification, Evaluation & Implementation Planning
  8. Process Control & Standardization
  9. Variable Control Charts
  10. Attribute Control Charts
  11. DFSS Overview

 

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