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.
| ISBN: | 9783319721125 |
| Publication date: | 30th January 2018 |
| Author: | Son Duy Dao |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 147 pages |
| Series: | Springer Theses |
| Genres: |
Engineering: general Distribution and logistics management Management and management techniques Production and industrial engineering Artificial intelligence |
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.
Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems features in the following genres: Engineering: general, Distribution and logistics management, Management and management techniques, Production and industrial engineering, Artificial intelligence
Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems is available in Hardback
Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems was written by Son Duy Dao and published by Springer an imprint of Springer International Publishing
Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems has 147 pages
Yes it is part of Springer Theses series