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On Rescheduling for Two-Machine Flow Shop System with the Arrival of New Jobs

机译:随着新工作的到来,两机流水作业系统的重新调度

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In this paper, we consider the rescheduling problem for a two-machine flow shop system with the arrival of new jobs, in which a set of original jobs has been given a planned schedule (but has not been executed) on a two-machine flow shop system to minimize the makespan, when a set of new jobs arrives. The production planner needs to insert the new jobs into the planned schedule without excessively disrupting it to minimize the makesapn on the original and the new jobs. The disruption is measured by the maximum time deviation for any given original job, between the original and new schedules. We examine two special models and a general model. In the first special model, the maximum time deviation appears as a constraint. In the second special model, the maximum time deviation appears as the part of the cost objective. In the general model, the maximum time deviation appears both as a constraint and as the part of the cost objective. For the two special models, we prove that they are NP-hard and accordingly the general model is also NP-hard. Furthermore we propose three heuristic algorithms to solve the general model followed by a numerical example.
机译:在本文中,我们考虑了带有新作业到达的两机流水车间系统的重新调度问题,在该系统中,一组原始作业已在两机流中给出了计划的计划(但尚未执行)当一系列新工作到来时,车间系统可以最大程度地缩短工期。生产计划员需要将新工作插入计划的计划中,而又不过度破坏计划,以最大程度地减少原始工作和新工作的花销。中断是通过原始计划与新计划之间的任何给定原始作业的最大时间偏差来衡量的。我们研究了两个特殊模型和一个通用模型。在第一个特殊模型中,最大时间偏差显示为约束。在第二个特殊模型中,最大时间偏差显示为成本目标的一部分。在一般模型中,最大时间偏差既显示为约束,也显示为成本目标的一部分。对于这两个特殊模型,我们证明它们是NP困难的,因此通用模型也是NP困难的。此外,我们提出了三种启发式算法来求解通用模型,然后给出一个数值示例。

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