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题名: Cost optimization problem of hybrid flow-shop based on PSO algorithm
作者: Han ZH(韩忠华); Ma, Xiaofu; Yao LL(姚丽丽); Shi HB(史海波)
作者部门: 自动化系统研究室
通讯作者: 韩忠华
会议名称: 2012 2nd International Conference on Materials Science and Information Technology, MSIT 2012
会议日期: August 24, 2012 - August 26, 2012
会议地点: Xi
会议录: Advanced Materials Research
会议录出版者: Trans Tech Publications
会议录出版地: Clausthal-Zellerfeld, Germany
出版日期: 2012
页码: 1616-1620
收录类别: EI
ISBN号: 9783037854389
关键词: Costs ; Global optimization ; Information technology ; Materials science ; Particle swarm optimization (PSO) ; Scheduling
摘要: A PSO-algorithm-based job scheduling method that takes production cost as optimization object is presented in this paper. The cost optimization model of HFSP, in which production cost is considered as an optimal factor, is constructed. PSO is used to take global optimization, make the production task assignment and find which machine the jobs should be assigned at each stage, which is also called the process route of the job. After that the local assignment rules are used to determine the job's starting time and processing sequence at each stage. The total production cost converted by time-based scheduling results is comprehensively considering the processing cost, waiting costs, and the products storage costs. The numerical results show the effectiveness of the algorithm after comparing between multi-group programs.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/10128
Appears in Collections:自动化系统研究室_会议论文

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Recommended Citation:
Han ZH,Ma, Xiaofu,Yao LL,et al. Cost optimization problem of hybrid flow-shop based on PSO algorithm[C]. 见:2012 2nd International Conference on Materials Science and Information Technology, MSIT 2012. Xi. August 24, 2012 - August 26, 2012.
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