Six Sigma Black Belt

Six Sigma is set of rules that are useful in improving processes and providing a better quality of products and services in a given time frame.It collects and augments data from various businesses and finally removes any defects that exist in it. Six Sigma professionals create better products by implementing the techniques, methods and tools of Six Sigma. in a particular sequence.

When Motorola came up with the concept of Six Sigma in the 1980's, its main aim was to improve the time-cycle and reduce production errors. As per the rules of Six Sigma, only 3.4 errors can be allowed in a million processes. The Six Sigma methodology aims at fulfilling customer requirements, satisfying the customers to improve the relations with them which helps in keeping the customers/clients loyal to the organisation in times of difficulty even.

The Six Sigma methodology focuses on improvising the time-cycle process and making sure there are least defects in any business processes. According to Six Sigma in order to get success over qualitative meters, qualitative scopes must take a precedence. This results in the credibility of the employees going up. Six Sigma applies to all the industries and can be practised by almost all professionals who belong to different industries. It can be used by people who use statistics, financial analysis and project management to achieve better business purposes. According to Six Sigma, any process that does not fulfil customer satisfaction is termed as an error.

Six Sigma practitioners go on upgrading themselves as they progress from White Belt to Black Belt professionals. According to Six Sigma, all business processes can be gauged and streamlined.

 EXAMINATION

Type: Multiple Choice Questions

Questions: 100

Pass Percentile: 70%

Language of Exam: English

• PHASE I - DEFINE
  • An Overview of Six Sigma
    • Six Sigma – An Understanding
    • 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)
  • Phase II-MEASURING
    • 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
    • Phase III - ANALYZING
      • 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
      • Phase IV - IMPROVING
        • 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
        • Phase V - CONTROLLING
          • Lean Controls
            • Control Methods for 5
            • 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