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Introduction to Engineering Statistics and Lean Six Sigma

Statistical Quality Control and Design of Experiments and Systems

  • Theodore T. Allen

Table of contents

  1. Front Matter
    Pages I-XXIII
  2. Theodore T. Allen
    Pages 1-36
  3. Statistical Quality Control

    1. Front Matter
      Pages 37-37
    2. Theodore T. Allen
      Pages 39-54
    3. Theodore T. Allen
      Pages 55-83
    4. Theodore T. Allen
      Pages 85-127
    5. Theodore T. Allen
      Pages 129-159
    6. Theodore T. Allen
      Pages 161-177
    7. Theodore T. Allen
      Pages 179-193
    8. Theodore T. Allen
      Pages 195-209
    9. Theodore T. Allen
      Pages 211-233
    10. Theodore T. Allen
      Pages 235-274
  4. Design of Experiments (DOE) and Regression

    1. Front Matter
      Pages 275-275
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      Pages 277-305
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      Pages 307-333
    4. Theodore T. Allen
      Pages 335-374
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      Pages 375-395
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      Pages 397-433
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      Pages 435-457
    8. Theodore T. Allen
      Pages 459-480
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      Pages 481-513
  5. Optimization and Management

    1. Front Matter
      Pages 515-515
    2. Theodore T. Allen
      Pages 517-538
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      Pages 539-542
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      Pages 543-550
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      Pages 551-565
    6. Theodore T. Allen
      Pages 567-574
    7. Theodore T. Allen
      Pages 575-600
  6. Back Matter
    Pages 601-629

About this book

Introduction

This book provides an accessible one-volume introduction to Lean Six Sigma and statistics in engineering for students and industry practitioners. Lean production has long been regarded as critical to business success in many industries. Over the last ten years, instruction in Six Sigma has been linked more and more with learning about the elements of lean production. Building on the success of the first and second editions, this book expands substantially on major topics of increasing relevance to organizations interested in Lean Six Sigma. 

Each chapter includes summaries and review examples plus problems with their solutions. As well as providing detailed definitions and case studies of all Six Sigma methods, the book uniquely describes the relationship between operations research techniques and Lean Six Sigma. Further, this new edition features more introductory material on probability and inference and information about Deming's philosophy, human factors engineering, and the motivating potential score – the material is tied more directly to the Certified Quality Engineer (CQE) exam. 

New sections that explore motivation and change management, which are critical subjects for achieving valuable results have also been added. The book examines in detail Design For Six Sigma (DFSS), which is critical for many organizations seeking to deliver desirable products. It covers reliability, maintenance, and product safety, to fully span the CQE body of knowledge. It also incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on experiment design, and includes practical experiments that will help improve students’ intuition and retention. 

The emphasis on lean production, combined with recent methods relating to DFSS, makes this book a practical, up-to-date resource for advanced students, educators and practitioners.

Keywords

genetic algorithms linear optimization operations research and lean sigma optimization analysis of variance quality control of systems design Engineering statistics textbook Six Sigma textbook Design For Six Sigma Product safety Change management Design of Experiments (DOE)

Authors and affiliations

  • Theodore T. Allen
    • 1
  1. 1.Industrial and Systems EngineeringThe Ohio State UniversityColumbusUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-7420-2
  • Copyright Information Springer-Verlag London Ltd., part of Springer Nature 2019
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-7419-6
  • Online ISBN 978-1-4471-7420-2
  • Buy this book on publisher's site
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