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Cell formation in industrial engineering : theory, algorithms and experiments

Autore: Boris Goldengorin; Dmitry Krushinsky; P M Pardalos
Editore: New York : Springer, ©2013.
Serie: Springer optimization and its applications, v. 79.
Edizione/Formato:   eBook : Document : EnglishVedi tutte le edizioni e i formati
Banca dati:WorldCat
Sommario:
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  Per saperne di più…
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Dettagli

Genere/forma: Electronic books
Informazioni aggiuntive sul formato: Print version:
Goldengorin, Boris I.
Cell Formation in Industrial Engineering : Theory, Algorithms and Experiments.
Dordrecht : Springer, ©2013
Tipo materiale: Document, Risorsa internet
Tipo documento: Internet Resource, Computer File
Tutti gli autori / Collaboratori: Boris Goldengorin; Dmitry Krushinsky; P M Pardalos
ISBN: 9781461480020 1461480027 1461480019 9781461480013
Numero OCLC: 858763763
Descrizione: 1 online resource (xiv, 206 pages) : illustrations (some color).
Contenuti: The Problem of Cell Formation: Ideas and Their Applications --
The p-Median Problem --
Application of the PMP to Cell Formation in Group Technology --
The Minimum Multicut Problem and an Exact Model for Cell Formation --
Multiobjective Nature of Cell Formation --
Pattern-Based Heuristic for the Cell Formation Problem in Group Technology --
Two Models and Algorithms for Bi-Criterion Cell Formation --
Summary and Conclusions.
Titolo della serie: Springer optimization and its applications, v. 79.
Responsabilità: Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos.

Abstract:

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.

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