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Cell Formation in Industrial Engineering

Theory, Algorithms and Experiments

  • Book
  • © 2013

Overview

  • First book to address the cell formation theory and its applications from the perspective of a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology
  • Addresses new methodologies to solve cell formation problems
  • Can be used as supplementary text at the graduate and post-graduate levels in all fields of engineering
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (8 chapters)

Keywords

About this book

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.

Reviews

“The book under review is a very good source … continuing the long term passion of Panos Pardalos and his collaborators in exact solution of difficult problems … . It also adds a very valuable contribution to the body of knowledge of the cell formation problem that can be used in both teaching and research including in bioinformatics.” (Boris Mirkin, Optimization Letters, 2015)

Authors and Affiliations

  • Department of Industrial and Systems Eng, University of Gainesville, Gainesville, USA

    Boris Goldengorin, Panos M. Pardalos

  • University of Groningen, Groningen, The Netherlands

    Dmitry Krushinsky

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