Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

Nonfiction, Science & Nature, Technology, Manufacturing, Computers, Advanced Computing, Artificial Intelligence
Cover of the book Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems by Son Duy Dao, Springer International Publishing
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Author: Son Duy Dao ISBN: 9783319721132
Publisher: Springer International Publishing Publication: December 27, 2017
Imprint: Springer Language: English
Author: Son Duy Dao
ISBN: 9783319721132
Publisher: Springer International Publishing
Publication: December 27, 2017
Imprint: Springer
Language: English

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.

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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.

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