基于重新排序时间错位限制下的最小化总完工时间的平行分批排序

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  • School of Science, Henan University of Technology
XU Xiao-yan(1979-), female,native of Jiaozuo, Henan, a lecturer of Henan University of Technology, M.S.D., engages in the combinatorial optimization and its applications.

收稿日期: 2013-11-03

  网络出版日期: 2020-11-23

基金资助

Supported by the National Natural Science Foundation of China(11271338,11201121,71201049); Supported by the National Natural Science Foundation of Henan Province(112300410078); Supported by the Natural Science Foundation of the Education Department of Henan Province(2011B110008);

Rescheduling to Minimize Total Completion Time Under a Limit Time Disruption for the Parallel Batch

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  • School of Science, Henan University of Technology
XU Xiao-yan(1979-), female,native of Jiaozuo, Henan, a lecturer of Henan University of Technology, M.S.D., engages in the combinatorial optimization and its applications.

Received date: 2013-11-03

  Online published: 2020-11-23

Supported by

Supported by the National Natural Science Foundation of China(11271338,11201121,71201049); Supported by the National Natural Science Foundation of Henan Province(112300410078); Supported by the Natural Science Foundation of the Education Department of Henan Province(2011B110008);

摘要

In the rescheduling on a single machine, a set of the original jobs has already been scheduled, in order to make a given objective function is optimal. The decision maker needs to insert the new jobs into the existing schedule without excessively disrupting it. A batching machine is a machine that can handle up to some jobs simultaneously. In this paper,we consider the total completion time under a limit on the sequence disruptions for parallel batching based on rescheduling. For the parallel batching problem based on rescheduling, we research the properties of feasible schedules and optimal schedules on the total completion time under a limit on the maximum time disruptions or total time disruptions, in which the jobs are sequenced in SPT order, and give out the pseudo-polynomial time algorithms on the number of jobs and the processing time of jobs by applying the dynamic programming method. 

本文引用格式

许小艳, 慕运动, 郭晓, 郝赟 . 基于重新排序时间错位限制下的最小化总完工时间的平行分批排序[J]. 数学季刊, 2015 , 30(2) : 274 -279 . DOI: 10.13371/j.cnki.chin.q.j.m.2015.02.015

Abstract

In the rescheduling on a single machine, a set of the original jobs has already been scheduled, in order to make a given objective function is optimal. The decision maker needs to insert the new jobs into the existing schedule without excessively disrupting it. A batching machine is a machine that can handle up to some jobs simultaneously. In this paper,we consider the total completion time under a limit on the sequence disruptions for parallel batching based on rescheduling. For the parallel batching problem based on rescheduling, we research the properties of feasible schedules and optimal schedules on the total completion time under a limit on the maximum time disruptions or total time disruptions, in which the jobs are sequenced in SPT order, and give out the pseudo-polynomial time algorithms on the number of jobs and the processing time of jobs by applying the dynamic programming method. 
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