DocumentCode :
508019
Title :
The Scheduling for Press Shop Based on Constraints Parallel Machine Model
Author :
Yu, Daoyuan ; Li, Zhengfeng ; Yang, Shunian
Author_Institution :
Sch. of Mech. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
4
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
474
Lastpage :
479
Abstract :
We presents a new scheduling solution for press shop and a new scheduling model based on constraints parallel machine for press shop. In this paper, the scheduling for press shop is divided into scheduling of one single press line and partitions among several lines. First, the job will be processed from the both terminals of the bidirectional press line and in the order of machines, in which procession the parallel processed jobs are under the constraints of operation number and machine capacity, then the constraints relative between operation and processing time are formulated. Further, the hybrid genetic algorithm with heuristic rules has been developed to solve the problem. Finally, the example of the minimum makespan and balance among press lines is used as the optimized object to validate this model and the scheduling results is obtained which possessed practical application value.
Keywords :
automobile manufacture; genetic algorithms; pressing; single machine scheduling; bidirectional press line; constraints parallel machine model; heuristic rules; hybrid genetic algorithm; machine capacity; minimum makespan; operation number; press shop scheduling; Constraint optimization; Costs; Genetic algorithms; Job shop scheduling; Metalworking machines; Optimized production technology; Parallel machines; Processor scheduling; Virtual manufacturing; Workstations; hybrid genetic algorithm; operation constraints; parallel machine; press shop; scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.64
Filename :
5364685
Link To Document :
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