Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

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Éditeur :

Springer


Collection :

Springer Theses

Paru le : 2017-12-27

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Description

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.
Pages
147 pages
Collection
Springer Theses
Parution
2017-12-27
Marque
Springer
EAN papier
9783319721125
EAN PDF
9783319721132

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
4106 Ko
Prix
108,89 €