Produktbild: Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

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Springer Theses

ISBN: 3319891413
ISBN 13: 9783319891415
Autor: Dao, Son Duy
Verlag: Springer Verlag GmbH
Umfang: xvii, 147 S., 6 s/w Illustr., 11 farbige Illustr., 147 p. 17 illus., 11 illus. in color.
Erscheinungsdatum: 06.06.2019
Auflage: 1/2018
Produktform: Kartoniert
Einband: Kartoniert

This thesis reports on an innovative production-scheduling model for virtual computer-integrated manufacturing (VCIM) systems. It also describes a robust genetic algorithm for production scheduling in VCIM systems. The model, which is the most comprehensive of its kind to date, is not only capable of supporting collaborative shipment scheduling and handling multiple product orders simultaneously, but also helps cope with multiple objective functions under uncertainties. In turn, the genetic algorithm, characterised by an innovative algorithm structure, chromosome encoding, crossover and mutation, is capable of searching for optimal/suboptimal solutions to the complex optimisation problem in the VCIM production- scheduling model described. Lastly, the effectiveness of the proposed approach is verified in a comprehensive case study.

Artikelnummer: 6198785 Kategorie:

Beschreibung

Nominated as an outstanding PhD thesis by the University of South Australia, Adelaide Reports on an innovative production scheduling model for virtual computer-integrated manufacturing (VCIM) systems Presents a robust genetic algorithm for optimising production scheduling in VCIM systems

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