Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

Specificaties
Gebonden, blz. | Engels
Springer International Publishing | e druk, 2018
ISBN13: 9783319721125
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Springer International Publishing e druk, 2018 9783319721125
Onderdeel van serie Springer Theses
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783319721125
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing

Inhoudsopgave

Chapter 1: Introduction.- Chapter 2: Literature review.- Chapter 3: An innovative production scheduling model for VCIM systems.- Chapter 4: An innovative genetic algorithm for VCIM production scheduling optimisation.- Chapter 5: Case study.- Chapter 6: Conclusions and recommendations for future work.

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        Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems