DocumentCode
2285060
Title
A novel model for integration of collaborative planning and rapid scheduling
Author
Bao, Zhen-Qiang ; Wang, Wei-Ye ; Wang, Gui-Jun ; Zhong, Hui ; Chen, Wei
Author_Institution
Inf. Eng. Coll., Yangzhou Univ., Yangzhou, China
fYear
2009
fDate
14-16 Sept. 2009
Firstpage
432
Lastpage
436
Abstract
Aiming at the production type enslaved by the working ability and the cooperation partners, a novel model for integration of collaborative planning and rapid scheduling is constructed to deal with it. The model can effectively solve the scheduling problem lack of the working ability and the problem of the unfixed scheduling set in which part of the jobs can be outsourced but part of the jobs cannot be outsourced, and give a scheduling with the most jobs in stated make-span. A hybrid genetic algorithm with heuristic method is put forward. The feasibility of planning and the consistency of scheduling are ensured, meanwhile, the decision of process route is made. Finally, the method has been applied in a flow shop of a rag trade company, and the validity and feasibility of our integrated optimization model has been proved.
Keywords
flow shop scheduling; genetic algorithms; production management; production planning; collaborative planning; collaborative production; cooperation partners; flow shop; genetic algorithm; integrated optimization model; production type enslaved; rapid scheduling; scheduling problem; working ability; Collaborative work; Conference management; Constraint optimization; Dynamic scheduling; International collaboration; Job production systems; Job shop scheduling; Manufacturing; Process planning; Production planning; collaborative production; decision-making of process route; genetic algorithm; integration of collaborative planning and scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2009. ICMSE 2009. International Conference on
Conference_Location
Moscow
Print_ISBN
978-1-4244-3970-6
Electronic_ISBN
978-1-4244-3971-3
Type
conf
DOI
10.1109/ICMSE.2009.5317383
Filename
5317383
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