Six Sigma Black Belt

Six Sigma is in link with an ideology which emphases on refining several statistics that forms a part of business process. The qualitative extents should take a step ahead for getting success over qualitative indicators according to Six Sigma. In this way, the accomplishment of reliability will be there to increase the work recitals by different personnel. Six Sigma practitioners include all those business people who use statistics, financial analysis and project management for achieving improved business functions. It applies to all industries and vendors who want to attain goodwill by using various belts of Six Sigma.

In this course, delegates will learn about different aspects of five phases which comprise Six Sigma training. These steps include defining the problem, measuring the quantity of the problem, analysing it properly, improving it by verifying the solution, and controlling and maintaining the solution. With a pre-defined path, delegates can achieve Six Sigma belt levels which range from white to black belt. Finally, it supports and promotes the ideas which comprise the philosophy through which all business processes can become quantifiable and elevated.

The following diagram explains the responsibilities of individuals at various levels of Six Sigma Belt.

EXAM:

For measuring the comprehension of the course, each certification candidate is required to pass an examination that consists of multiple-choice questions. There will be 100 questions out of which 70 are recommended to be given to make the exam. The review will come only in English.

The following details include in the course as a part of the course content:

1. DEFINING PHASE

• Six Sigma Overview
  • What is Six Sigma?
  • History of Six Sigma
  • Y = f(x) Approach
  • Methodology of Six Sigma
  • Roles & Responsibilities
• Fundamentals of Six Sigma
  • Defining Process
  • VOC & CTQ’s
  • QFD
  • Cost of Poor Quality
  • Pareto (80:20 rule)
• Projects of Lean Six Sigma
  • Six Sigma Metrics
  • Business Case & Charter
  • Project Team Selection
  • Project Risk Management
  • Project Planning
• Lean Fundamentals
  • Lean & Six Sigma
  • History of Lean
  • The Seven Deadly Muda
  • Five-S (5S)

2. MEASURING PHASE

• Process Definition
  • Cause & Effect Diagrams
  • Cause & Effects Matrix
  • Process Mapping
  • FMEA
  • Theory of Constraints
• Six Sigma Statistics
  • Basic Statistics
  • Descriptive Statistics
  • Distributions & Normality
  • Graphical Analysis
• MSA
  • Precision & Accuracy
  • Bias, Linearity & Stability
  • Gage R&R
  • Variable & Attribute MSA
• Process Capability
  • Capability Analysis
  • Stability Concept
  • Attribute Capability
  • Discrete Capability
  • Monitoring Techniques

3. ANALYZING PHASE

• Variation Patterns
  • Multi-Variable Analysis
  • Classes of Distributions
• Inferential Statistics
  • Understanding Inference
  • Sampling
  • Sample Size
  • Central Limit Theorem
• Hypothesis Testing
  • Hypothesis Testing Goals
  • Statistical Significance
  • Risk; Alpha & Beta
  • Types of Hypothesis Test
• Hyp-Tests: Normal Data
  • One and Two Sample t-tests
  • One Sample Variance
  • One Way ANOVA
• Hyp-Tests: Non-Normal Data
  • Mann-Whitney & Mood’s Median
  • Kruskal-Wallis
  • Moods Median
  • Friedman
  • 1 Sample Sign
  • 1 Sample Wilcoxon
  • 1 and 2 Proportion
  • Chi-Squared
  • Test of Equal Variances

4. IMPROVING PHASE

• Simple Linear Regression
  • Correlation
  • X-Y Diagram
  • Regression Equations
  • Residuals Analysis
• Multiple Regression
  • Non-Linear Regression
  • Multiple Linear Regression
  • Confidence Intervals
  • Residuals Analysis
  • Box-Cox Transformation
  • Stepwise Regression
  • Logistic Regression
• Designed Experiments
  • Experiment Objectives
  • Experimental Methods
  • DOE Considerations
• Full Factorial Experiments
  • 2k Full Factorial Designs
  • Linear & Quadratic Models
  • Orthogonal Designs
  • Model & Center Points
• Fractional Factorials
  • Designs
  • Confounding Effects
  • Experimental Resolution

5. CONTROLLING PHASE

• Lean Controls
  • Control Methods for 5S
  • Kanban
  • Poka-Yoke
• SPC
  • Data Collection for SPC
  • I-MR Chart
  • Xbar-R Chart
  • U Chart
  • P Chart
  • NP Chart
  • X-S chart
  • CumSum Chart
  • EWMA Chart
  • Control Methods
  • Control Chart Anatomy
  • Variation & Sampling
  • Control Limits
• Planning for Six Sigma Control
  • Cost Benefit Analysis
  • Control Plan Elements
  • Response Plan