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Rescheduling a Single Machine with Various Objectives

机译:用各种目标重新安排一台机器

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We consider a single machine rescheduling problem with two types of disruptions such as order cancelations and new orders after the initial scheduling. The original objective is minimizing total completion time and after the disruption, we reschedule remaining (not cancelled) and new orders with one of the three objectives under the condition of no- idle time and no-tardiness of remaining orders. They are the objective of minimizing total earliness of remaining or- ders with no-change in sequence of remaining orders, the objective of minimizing total completion time of new or- ders, and finally, a composite objective, which is minimizing the sum of total completion time of new orders and total earliness of remaining orders. We first prove complexity of the problems. Then, we develop an optimal solution pro- cedure for one objective and four intuitive heuristics for the other two objectives. We theoretically analyze perfor- mance of each heuristic. Finally, we empirically evaluate each heuristic, and the results indicate that heuristic H2, which uses the LPT rule to select a new order to be scheduled first, performs better than H1 and H3 and in turn, H1, which uses the LS rule to select a new order, performs better than H3, which uses the SPT rule.
机译:我们考虑单个机器重新安排问题,其中两种类型的中断,例如在初始调度之后的订单消除和新订单。最初的目标是最大限度地减少总完成时间和在中断后,我们重新安排(未取消)和新订单,其中三个目标之一是剩余订单的空闲时间条件和禁止的不计。它们是最大限度地减少剩余或剩余次数无变化的剩余次数的完整性,最小化新毒品总完成时间的目标,最后是复合目标,这最小化了总额的总和新订单的完成时间和剩余订单的完全重点。我们首先证明了问题的复杂性。然后,我们为一个客观和四个直观的启发式制定了一个最佳解决方案,对其他两个目标进行了四个直观的启发式。我们理论上分析每个启发式的性能。最后,我们凭经验评估每个启发式,结果表明,使用LPT规则首先选择新订单的启发式H2比H1和H3更好,然后使用LS规则选择新订单比H3更好,它使用SPT规则。

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