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Cell Formation in Industrial Engineering : Theory, Algorithms and Experiments

著者: Boris Goldengorin; Dmitry Krushinsky; P M Pardalos
出版: Dordrecht : Springer, 2013.
シリーズ: Springer optimization and its applications, v. 79.
エディション/フォーマット:   電子書籍 : Document : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:
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  続きを読む
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ジャンル/形式: Electronic books
その他のフォーマット: Print version:
Goldengorin, Boris I.
Cell Formation in Industrial Engineering : Theory, Algorithms and Experiments.
Dordrecht : Springer, ©2013
資料の種類: Document, インターネット資料
ドキュメントの種類: インターネットリソース, コンピューターファイル
すべての著者/寄与者: Boris Goldengorin; Dmitry Krushinsky; P M Pardalos
ISBN: 9781461480020 1461480027 1461480019 9781461480013
OCLC No.: 862794345
物理形態: 1 online resource (213 pages).
コンテンツ: Chapter 1 The Problem of Cell Formation: Ideas and Their Applications --
Chapter 2 The p-Median Problem --
Chapter 3 Application of the PMP to Cell Formation in Group Technology --
Chapter 4 The Minimum Multicut Problem and an Exact Model for Cell Formation --
Chapter 5 Multiobjective Nature of Cell Formation --
Chapter 6 Pattern-Based Heuristic for the Cell Formation Problem in Group Technology --
Chapter 7 Two Models and Algorithms for Bi-Criterion Cell Formation --
Chapter 8 Summary and Conclusions.
シリーズタイトル: Springer optimization and its applications, v. 79.
責任者: Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos.
その他の情報:

概要:

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.

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"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 続きを読む

 
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