Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/250
Title: Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems
Authors: Dao, Son Duy. ;
subject: Engineering;Business logistics. ;;Computational intelligence. ;;Engineering economics. ;;Engineering economy. ;;Manufacturing industries. ;;Machines. ;;Tools. ;;Engineering;Engineering Economics, Organization, Logistics, Marketing. ;;Computational Intelligence. ;;Manufacturing, Machines, Tools. ;;Logistics. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Springer Theses, Recognizing Outstanding Ph.D. Research, ; 2190-5053. ;
Springer Theses, Recognizing Outstanding Ph.D. Research, ; 2190-5053. ;
Abstract: 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. ;
Description: 



Printed edition: ; 9783319721125. ;
SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/250
ISBN: 9783319721132 ;
9783319721125 (print) ;
More Information: XVII, 147 p. 17 illus., 11 illus. in color. ; online resource. ;
Appears in Collections:مهندسی مدیریت ساخت

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Title: Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems
Authors: Dao, Son Duy. ;
subject: Engineering;Business logistics. ;;Computational intelligence. ;;Engineering economics. ;;Engineering economy. ;;Manufacturing industries. ;;Machines. ;;Tools. ;;Engineering;Engineering Economics, Organization, Logistics, Marketing. ;;Computational Intelligence. ;;Manufacturing, Machines, Tools. ;;Logistics. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Springer Theses, Recognizing Outstanding Ph.D. Research, ; 2190-5053. ;
Springer Theses, Recognizing Outstanding Ph.D. Research, ; 2190-5053. ;
Abstract: 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. ;
Description: 



Printed edition: ; 9783319721125. ;
SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/250
ISBN: 9783319721132 ;
9783319721125 (print) ;
More Information: XVII, 147 p. 17 illus., 11 illus. in color. ; online resource. ;
Appears in Collections:مهندسی مدیریت ساخت

Files in This Item:
File Description SizeFormat 
9783319721132.pdf4.04 MBAdobe PDFThumbnail
Preview File
Title: Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems
Authors: Dao, Son Duy. ;
subject: Engineering;Business logistics. ;;Computational intelligence. ;;Engineering economics. ;;Engineering economy. ;;Manufacturing industries. ;;Machines. ;;Tools. ;;Engineering;Engineering Economics, Organization, Logistics, Marketing. ;;Computational Intelligence. ;;Manufacturing, Machines, Tools. ;;Logistics. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Springer Theses, Recognizing Outstanding Ph.D. Research, ; 2190-5053. ;
Springer Theses, Recognizing Outstanding Ph.D. Research, ; 2190-5053. ;
Abstract: 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. ;
Description: 



Printed edition: ; 9783319721125. ;
SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/250
ISBN: 9783319721132 ;
9783319721125 (print) ;
More Information: XVII, 147 p. 17 illus., 11 illus. in color. ; online resource. ;
Appears in Collections:مهندسی مدیریت ساخت

Files in This Item:
File Description SizeFormat 
9783319721132.pdf4.04 MBAdobe PDFThumbnail
Preview File