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Minimizing Maximum Lateness on Unbounded Single Batching Machine with Family Jobs

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【作者】 郑睿李宏余

【Author】 ZHENG Rui1,LI Hong-yu 1 Pudong Academy of Reform and Development,Shanghai 200127,China2 School of Management,Fudan University,Shanghai 200433,China

【机构】 Pudong Academy of Reform and DevelopmentSchool of Management,Fudan University

【摘要】 The scheduling problem on a single batching machine with family jobs was proposed.The single batching machine can process a group of jobs simultaneously as a batch.Jobs in the same batch complete at the same time.The batch size is assumed to be unbounded.Jobs that belong to different families can not be processed in the same batch.The objective function is minimizing maximum lateness.For the problem with fixed number of m families and n jobs,a polynomial time algorithm based on dynamic programming with time complexity of O(n(n/m+1)m)was presented.

【Abstract】 The scheduling problem on a single batching machine with family jobs was proposed.The single batching machine can process a group of jobs simultaneously as a batch.Jobs in the same batch complete at the same time.The batch size is assumed to be unbounded.Jobs that belong to different families can not be processed in the same batch.The objective function is minimizing maximum lateness.For the problem with fixed number of m families and n jobs,a polynomial time algorithm based on dynamic programming with time complexity of O(n(n/m+1)m)was presented.

【基金】 National Natural Science Foundation of China(No.70832002);Graduate Student Innovation Fund of Fudan University,China
  • 【文献出处】 Journal of Donghua University(English Edition) ,东华大学学报(英文版) , 编辑部邮箱 ,2010年05期
  • 【分类号】O223
  • 【下载频次】26
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