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Parallel-machine scheduling with controllable processing times and rate-modifying activities to minimise total cost involving total completion time and job compressions

机译:具有可控制的处理时间和速率修改活动的并行机器调度,可将涉及总完成时间和工作压缩的总成本降至最低

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摘要

In this paper, we consider unrelated parallel-machine scheduling involving controllable processing times and rate-modifying activities simultaneously. We assume that the actual processing time of a job can be compressed by allocating a greater amount of a common resource to process the job. We further assume that each machine may require a rate-modifying activity during the scheduling horizon. The objective is to determine the optimal job compressions, the optimal positions of the rate-modifying activities and the optimal schedule to minimise a total cost function that depends on the total completion time and total job compressions. If the number of machines is a given constant, we propose an efficient polynomial time algorithm to solve the problem.
机译:在本文中,我们考虑无关的并行机调度,该调度涉及可控的处理时间和速率修改活动同时进行。我们假设可以通过分配更多的公共资源来处理作业来压缩作业的实际处理时间。我们进一步假设在调度范围内,每台机器可能都需要进行速率修改活动。目的是确定最佳作业压缩,费率调整活动的最佳位置和最佳计划,以最小化取决于总完成时间和总作业压缩的总成本函数。如果机器数是给定的常数,我们提出一种有效的多项式时间算法来解决该问题。

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