Course Description

Greenbelt Body of knowledge

MODULE-1: SIX SIGMA AND THE ORGANIZATION

• Value of Six Sigma:

Recognize why organizations use Six Sigma, History of Six Sigma. Juran, Deming,

Shewhart, Ishikawa’s philosophy of Quality

• Organizational goals and Six Sigma projects:

Describe how Lean Six Sigma projects influence the organization as a whole.

• Organizational drivers and metrics:

Profit, market share, customer satisfaction, efficiency, product differentiation. Balanced Scorecard.

• Lean Principles in the Organization Value chain, flow, 7 wastes, and 3Ms
• Design for Six Sigma (DFSS): Distinguish between DMADV (define, measure, analyze, design, verify) and IDOV (identify, design, optimize, verify), and recognize how they align with

MODULE-2: DEFINE PHASE

• Project Identification:

Project Selection Process, Stakeholder analysis, Voice of Customer, Voice of Business, Cost of Poor Quality, CTQ Tree, Project Charter, SIPOC.

• Team Management:

Communication Plan, Team stages and dynamics, Team roles and responsibilities, Brainstorming, NGT, Multi-voting

• Management & Planning Tools:

affinity diagrams, interrelationship diagrams, tree diagrams, prioritization matrices, matrix diagrams, process decision program charts (PDPC), and activity network diagrams

MODULE-3: MEASURE PHASE

• Basic Statistics:
  Basic statistical terms, Central limit theorem, Descriptive & Inferential statistics, Statistical Distributions, Central Limit Theorem
• Probability:
  Identify and use basic probability concepts: independent events, mutually exclusive events, multiplication rules, permutations, and combinations
• Process Characteristics:
  Process flow metrics, Process analysis tools
• Data Collection:
  Types of data, Measurement scales, Sampling, Data collection plans, and methods
• Measurement system analysis (MSA):
  Bias, Linearity, Stability, Gage R&R, P/T Ratio
• Process Capability:
  Cp, Cpk, Pp, Ppk, DPMO, PPM, Process performance specification, Short-term and long-term capability

MODULE-4: ANALYZE PHASE

• Measuring and Modeling Relationships Between Variables:
  The correlation coefficient, Linear regression
• Hypothesis Testing:
  Terminology, Statistical vs. practical significance, Sample size, Tests for means, variances, and proportions, Analysis of variance (ANOVA), Goodness-of-fit (chi-square) tests
• Failure Mode and Effects Analysis (FMEA):
  PFMEA and DFMEA
• Other Analysis Tools:
  Why-Why Analysis, Root Cause Analysis, Waste Analysis

MODULE-5: IMPROVE PHASE

• Design of Experiments:

Basic terms, Main effect, and Interaction effect plots.

·         Lean Tools for Waste Elimination:

5S Kanban, Standard work, Continuous flow, Kaizen, SMED, Pilot & Implementation

MODULE-6: CONTROL PHASE

• Statistical Process Control (SPC) Basics:

Objectives, Selection of variables, Rational subgrouping, Control chart selection, and Control chart analysis.

• Other Controls:
  Control plan, TPM, Poka Yoke, Visual controls

  SAMPLE CERTIFICATE