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A note on a single-machine lot scheduling problem with indivisible orders

机译:关于带不可分割订单的单机批量计划问题的注释

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摘要

In this paper, a lot scheduling problem on a single machine with indivisible orders is studied. The objective is to minimize the total completion time of all orders. We show that the problem is NP-hard in the strong sense. Then, a binary integer programming approach and four simple heuristics are proposed to solve the problem. The binary integer programming approach with running time limit is considered as one heuristic method. As compared to a lower bound, the average performances of the heuristic method are really good and better than those of the four simple heuristics.
机译:本文研究了具有不可分割订单的单机上的许多调度问题。目的是最大程度地减少所有订单的总完成时间。我们从强烈的意义上证明了这个问题是NP难题。然后,提出了一种二进制整数规划方法和四种简单的启发式方法来解决该问题。具有运行时间限制的二进制整数编程方法被视为一种启发式方法。与下限相比,启发式方法的平均性能确实比四种简单启发式方法的性能更好。

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