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 Duration 35 hours

Course Outline

Six Sigma and Strategic Organizational Alignment

  • Strategic value of Six Sigma
  • Historical context and origins
  • Evaluation of the Cost of Poor Quality (COPQ)
  • Alignment of organizational goals with Six Sigma initiatives
  • Organizational drivers and performance metrics
  • Design for Six Sigma (DFSS) frameworks

Define Phase: Methodologies and Instruments

  • Identification and selection of priority projects
  • Process architecture: Inputs and outputs
  • Identification of process owners and stakeholders
  • Formulation of the project charter
  • Defining scope and problem statements
  • Identification of end users
  • Voice of the Customer (VoC) and Critical to Quality (CTQ) factors
  • Construction of SIPOC diagrams
  • Case study analysis
  • Assessment of business outcomes
  • Foundations of Sigma level calculations
  • Process and performance capability assessment
  • Process capability indices: 'Cp' and 'CpK'
  • Foundamentals of project administration
  • Team dynamics and performance optimization
  • Introduction and instruction on Minitab software
  • Administrative and planning instruments

Measure Phase: Foundations and Techniques

  • Process evaluation and documentation
  • Foundations of probability and statistics
  • Statistical distributions
  • Data collection and aggregation
  • Significance of the CE matrix
  • Assessment of data normality

Analyze Phase: Assessment and Instruments

  • Statistical process control
  • Control charts and stability evaluation
  • Qualitative assessment and immediate improvements
  • Process mapping
  • Exploratory data analysis
  • Hypothesis testing
  • Design of Experiments (DOE)
  • Root cause analysis
    • Review of the seven quality tools
  • Graphical analysis
    • Histograms
    • Analysis of Variance (ANOVA) and multi-plot diagrams
  • Failure Mode and Effect Analysis (FMEA)

Improve and Control Phases: Execution and Oversight

  • Piloting and implementation strategies
  • Pre- and post-implementation capability
  • Hypothesis testing verification
  • Application of Six Sigma principles to performance consistency
  • Practical exercise: Catapult experiment
  • Control phase
    • Control plans
  • Lean techniques for process oversight

Overview of Lean Enterprise Frameworks

  • Comparative analysis of Lean and Six Sigma
  • Integration of Lean principles within the organization
  • Categorization of waste: Muda, Muri, and Mura
  • Value Stream Mapping
  • Spaghetti Diagrams for distance analysis
  • Additional Lean techniques (e.g., Pull system, POUS)
  • Visual Management (5S)
  • Error prevention mechanisms

Requirements

  • Proficiency in basic to intermediate statistics: Participants are advised to review fundamental statistical concepts in advance. Reference materials or e-learning modules may be utilized to reinforce knowledge before attending the course.
  • Familiarity with the seven basic problem-solving tools.
  • Participants should possess at least five years of practical experience in business processes.

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