Overview
- Second edition of a successful book expands on two major topics of increasing relevance to organizations: lean production and design for six sigma
- Enables readers to identify which six sigma methods are most suitable for particular scenarios
- Includes supplementary material: sn.pub/extras
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Table of contents (22 chapters)
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Front Matter
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Introduction
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Design of Experiments (DOE) and Regression
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Front Matter
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Keywords
About this book
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 increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid.
As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include:
• control charts and advanced control charts,
• failure mode and effects analysis,
• Taguchi methods,
• gauge R&R, and
• genetic algorithms.
The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention.
The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.
Reviews
From the reviews of the first edition:
"A basic introduction to six sigma concepts, this book provides added depth to some statistical concepts. Theodore Allen uses a wide variety of example types to show the value of tools ranging from administrating medication in a hospital to welding with robotics. … One of the main points that Allen makes throughout the book is that, you do not need to understand all the theory behind the statistics to benefit from these tools.
I recommend this book."
(Roger Sauter, Boeing, in Technometrics, Vol. 49 (2), 2007)
Authors and Affiliations
About the author
Dr Theodore Allen is an associate professor in Industrial and Systems Engineering at The Ohio State University and a co-founder of the software company, Sagata Ltd. He is a senior member of the American Society of Quality and an associate editor of The Journal of Manufacturing Systems (Elsevier).
Bibliographic Information
Book Title: Introduction to Engineering Statistics and Lean Sigma
Book Subtitle: Statistical Quality Control and Design of Experiments and Systems
Authors: Theodore T. Allen
DOI: https://doi.org/10.1007/978-1-84996-000-7
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag London Ltd., part of Springer Nature 2010
eBook ISBN: 978-1-84996-000-7Published: 23 April 2010
Edition Number: 2
Number of Pages: XXIII, 572
Topics: Engineering, general, Probability Theory and Stochastic Processes, Operations Research/Decision Theory, Engineering Economics, Organization, Logistics, Marketing, Statistics for Business, Management, Economics, Finance, Insurance, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences