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Industrial Design of Experiments

A Case Study Approach for Design and Process Optimization

  • Textbook
  • © 2022

Overview

Authors:
  1. Sammy Shina

    1. Department of Mechanical Engineering, University of Massachusetts Lowell, Framingham, USA

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  • Presents classical versus Taguchi DoE methodologies as well as techniques developed by the author for successful DoE
  • Offers a step-wise approach to DoE optimization and interpretation of results
  • Includes industrial case studies, worked examples and detailed solutions to problems.

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxxi
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  2. Data Presentations, Statistical Distributions, Quality Tools, and Relationship to DoE

    • Sammy Shina
    Pages 1-60

  3. Samples and Populations: Statistical Tests for Significance of Mean and Variability

    • Sammy Shina
    Pages 61-97

  4. Regression, Treatments, DoE Design, and Modelling Tools

    • Sammy Shina
    Pages 99-138

  5. Two-Level Factorial Design and Analysis Techniques

    • Sammy Shina
    Pages 139-186

  6. Three-Level Factorial Design and Analysis Techniques

    • Sammy Shina
    Pages 187-215

  7. DoE Error Handling, Significance, and Goal Setting

    • Sammy Shina
    Pages 217-246

  8. DoE Reduction Using Confounding and Professional Experience

    • Sammy Shina
    Pages 247-280

  9. Multiple-Level Factorial Design and DoE Sequencing Techniques

    • Sammy Shina
    Pages 281-312

  10. Variability Reduction Techniques and Combining with Mean Analysis

    • Sammy Shina
    Pages 313-331

  11. Strategies for Multiple Outcome Analysis and Summary of DoE Case Studies and Techniques

    • Sammy Shina
    Pages 333-352

  12. Back Matter

    Pages 353-368
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Keywords

About this book

This textbook provides the tools, techniques, and industry examples needed for the successful implementation of design of experiments (DoE) in engineering and manufacturing applications. It contains a high-level engineering analysis of key issues in the design, development, and successful analysis of industrial DoE, focusing on the design aspect of the experiment and then on interpreting the results. Statistical analysis is shown without formula derivation, and readers are directed as to the meaning of each term in the statistical analysis. Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization is designed for graduate-level DoE, engineering design, and general statistical courses, as well as professional education and certification classes. Practicing engineers and managers working in multidisciplinary product development will find it to be an invaluable reference that provides all the information needed to accomplish a successful DoE. 

Authors and Affiliations

  • Department of Mechanical Engineering, University of Massachusetts Lowell, Framingham, USA

    Sammy Shina

About the author

Sammy G. Shina, Ph.D., P.E., is a Professor of Mechanical Engineering (ME) at the University of Massachusetts Lowell. His research interests and teaching include six sigma, design of experiments, statistical quality control, product design and manufacturing, engineering project management, and green electronics. He is the founder of the New England Lead Free Electronics Consortium, which researches, tests, and evaluates materials and processes for lead- free RoHS compliance and conversion to nanotechnology. The consortium received the EPA regional Merit award. Dr. Shina has worked and consulted for a number of technology companies developing new products and state-of-the-art manufacturing technologies.He received BS degrees in Electrical Engineering and Industrial Management from the Massachusetts Institute of Technology, an MS in Computer Science from Worcester Polytechnic Institute, and a PhD in Mechanical Engineering from Tufts University. He is the author of several books and more than 120 papers on concurrent engineering, six sigma, green design, and engineering project management.


Bibliographic Information

  • Book Title: Industrial Design of Experiments

  • Book Subtitle: A Case Study Approach for Design and Process Optimization

  • Authors: Sammy Shina

  • DOI: https://doi.org/10.1007/978-3-030-86267-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-86266-4Published: 04 January 2022

  • Softcover ISBN: 978-3-030-86269-5Published: 05 January 2023

  • eBook ISBN: 978-3-030-86267-1Published: 03 January 2022

  • Edition Number: 1

  • Number of Pages: XXXI, 368

  • Number of Illustrations: 62 b/w illustrations, 24 illustrations in colour

  • Topics: Engineering Design, Statistical Theory and Methods, Industrial Design, Industrial and Production Engineering, Business and Management, general

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