Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems
Dao, Son Duy
Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems by Son Duy Dao - 1 recurso en línea (XVII, 147 páginas) ilustraciones - Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053 Engineering (Springer-11647) .
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.
9783319721132
10.1007/978-3-319-72113-2 doi
Fabricación integrada por ordenador
TS157.5 / 2018 EB
Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems by Son Duy Dao - 1 recurso en línea (XVII, 147 páginas) ilustraciones - Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053 Engineering (Springer-11647) .
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.
9783319721132
10.1007/978-3-319-72113-2 doi
Fabricación integrada por ordenador
TS157.5 / 2018 EB