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Six Sigma Best Practices: A Guide to Business Process Excellence for Diverse Industries

Опубликовано на портале: 19-04-2007
Ft. Lauderdale: J. Ross Publishing, 2006, 464 с.
Тематический раздел:
This comprehensive training tool and implementation guide delineates how Six Sigma can be applied to processes within numerous functional areas of an organization in diverse industries to achieve strategic and operational business excellence, sustainable growth in profits and market share. Step-by-step techniques and flow diagrams are presented for integrating Six Sigma as best practices into business development and management. Their seamless integration helps businesses execute their strategic plans and track both short- and long-term progress within various areas of the organization. Six Sigma Best Practices is ideal for executive training in leading Six Sigma programs, for Yellow, Green, and Black Belt certification programs, for college courses and as a desk reference for practitioners

Chapter 1: Introduction
  • History
  • Business Market and Expectations
  • What is Sigma?
  • Six Sigma Approach
  • Road Map for Six Sigma Process
  • Six Sigma Implementation Structure
  • Project Selection
  • Project Team Selection
  • Project Planning and Management
  • Project Charter
  • Chapter 1 Summary

    Chapter 2: Define

  • Customer
  • High Level Process
  • Detailed Process Mapping
  • Chapter 2 Summary

    Chapter 3: Measure

  • Foundation of Measure
  • Measuring Tools
  • Data Collection Plan
  • Data Presentation Plan
  • Introduction to MINITAB
  • Determining Sample Size
  • Probabilistic Data Distribution
  • Calculating Sigma
  • Process Capability (Cp, Cpk) and Process Performance (Pp, Ppk) Indices
  • Chapter 3 Summary

    Chapter 4: Analyze

  • Stratification
  • Hypothesis Testing: Classical Techniques
  • Hypothesis Testing: The Chi-Square Technique
  • Analysis of Variance (ANOVA)
  • Regression and Correlation
  • Chapter 4 Summary

    Chapter 5: Improve

  • Process Reengineering
  • Guide to Improvement Strategies for Factors and Alternatives
  • Introduction to Design of Experiments (DOE)
  • Solution Alternatives
  • Chapter 5 Summary

    Chapter 6: Control

  • Self-Control
  • Monitor Constraints
  • Error-Proofing
  • Statistical Process Control (SPC) Techniques
  • Final Project Summary
  • Chapter 6 Summary

    Appendices