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Cell Formation in Industrial Engineering

Theory, Algorithms and Experiments

  • Boris Goldengorin
  • Dmitry Krushinsky
  • Panos M. Pardalos

Part of the Springer Optimization and Its Applications book series (SOIA, volume 79)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos
    Pages 1-23
  3. Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos
    Pages 25-73
  4. Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos
    Pages 75-99
  5. Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos
    Pages 101-115
  6. Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos
    Pages 117-127
  7. Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos
    Pages 129-153
  8. Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos
    Pages 155-172
  9. Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos
    Pages 173-177
  10. Back Matter
    Pages 179-206

About this book

Introduction

This book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by managers and engineers to design manufacturing cells based on their own preferences and constraints imposed by a particular manufacturing system. This tool could potentially lower production costs by minimizing other costs in a number of areas, thereby increasing profit in a manufacturing system.

In the volume, the cell formation problem is considered in a systematic and formalized way, and several models are proposed, both heuristic and exact. The models are based on general clustering problems, and are flexible enough to allow for various objectives and constraints. The authors also provide results of numerical experiments involving both artificial data from academic papers in the field and real manufacturing data to certify the appropriateness of the models proposed.

The book was intended to suit the broadest possible audience, and thus all algorithmic details are given in a detailed description with multiple numerical examples and informal explanations are provided for the theoretical results. In addition to managers and industrial engineers, this book is intended for academic researchers and students. It will also be attractive to many theoreticians, since it addresses many open problems in computer science and bioinformatics.

Keywords

algorithms cell formation cell formation theory manufacturing systems models group technology

Authors and affiliations

  • Boris Goldengorin
    • 1
  • Dmitry Krushinsky
    • 2
  • Panos M. Pardalos
    • 3
  1. 1.Department of Industrial and Systems EngUniversity of GainesvilleGainesvilleUSA
  2. 2.University of GroningenGroningenThe Netherlands
  3. 3.Department of Industrial and Systems EngUniversity of GainesvilleGainesvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-8002-0
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-8001-3
  • Online ISBN 978-1-4614-8002-0
  • Series Print ISSN 1931-6828
  • Buy this book on publisher's site