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Statistical and Managerial Techniques for Six Sigma Methodology: Theory and Application

Book Description

Statistical and Managerial Techniques for Six Sigma Methodology examines the methodology through illustrating the most widespread tool and techniques involved in Six Sigma application. Both managerial and statistical aspects of Six Sigma will be analyzed, allowing the reader to apply these tools in the field. This book offers an insight on variation and risk management, and focuses on the structure and organizational aspects of the Six Sigma projects. It covers six sigma methodology, basic managerial techniques, basic statistical techniques, methods for variation and risk management and advanced statistical techniques. Clear and practical examples and demonstrations are included throughout the book.

  • Packed with clear examples and case studies to illustrate the concepts and methodologies used in Six Sigma.

  • Looks at both managerial and statistical aspects of Six Sigma, covering both basic and more advanced statistical techniques.

  • Provides a chapter featuring case studies, equipping readers with the tools and techniques to apply methodology to real situations.

  • Suitable for adoption in all courses for Six Sigma Green Belt and Black Belt

  • Features a supporting website containing datasets

Well suited for Master level students in engineering and quality management, as well as MBA. Quality Managers, Consultants, and public and private companies implementing Six Sigma will also benefit greatly from the book.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Dedication
  5. Preface
  6. About the Authors
  7. Chapter 1: Six Sigma Methodology
    1. 1.1 Management by Process
    2. 1.2 Meanings and Origins of Six Sigma
    3. 1.3 Six Sigma Projects
    4. 1.4 The DMARIC Path
    5. References
  8. Chapter 2: Basic Managerial Techniques
    1. 2.1 For Brainstorming
    2. 2.2 To Manage the Project
    3. 2.3 To Describe and Understand the Processes
    4. 2.4 To direct the Improvement
    5. References
  9. Chapter 3: Basic Statistical Techniques
    1. 3.1 To Explore Data
    2. 3.2 To Define and Calculate the Uncertainty
    3. 3.3 To Model the Random Variability
    4. 3.4 To Draw Conclusions from Observed Data
    5. References
  10. Chapter 4: Advanced Managerial Techniques
    1. 4.1 To Describe Processes
    2. 4.2 To Manage a Project
    3. 4.3 To Analyse Faults
    4. 4.4 To Make Decisions
    5. References
  11. Chapter 5: Advanced Statistical Techniques
    1. 5.1 To Study the Relationships Between Variables
    2. 5.2 To Monitor and Keep Processes Under Control
    3. 5.3 To Improve Products, Services and Production Processes
    4. 5.4 To Assess the Measurement System
    5. References
  12. Chapter 6: Six Sigma Methodology in Action: Selected Black Belt Projects in Swedish Organisations
    1. 6.1 Resource Planning Improvement at SAAB Microwave Systems
    2. 6.2 Improving Capacity Planning of Available Beds: A Case Study for the Medical Wards at Sahlgrenska and Östra Hospitals
    3. 6.3 Controlling Variation in Play in Mast Production Process at ATLET
    4. 6.4 Optimising the Recognition and Treatment of Unexpectedly Worsening In-Patients at Kärnsjiukhuset, Skaraborg Hospital
    5. 6.5 Optimal Scheduling for Higher Efficiency and Minimal Losses in Warehouse at Structo Hydraulics AB
    6. 6.6 Reducing Welding Defect Rate for a Critical Component of an Aircraft Engine
    7. 6.7 Attacking a Problem of Low Capability in Final Machining for an Aircraft Engine Component at VAC—Volvo Aero Corporation
  13. Index