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Single-machine scheduling problems with the time-dependent learning effect

机译:具有时变学习效应的单机调度问题

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In this paper, three single-machine scheduling problems with time-dependent learning effect model to minimize the sum of weighted completion times, the sum of the kth powers of completion times and the maximum lateness are investigated. We show that the shortest processing time first (SPT) rule is an optimal solution for the problem to minimize the sum of the kth powers of completion times. Some polynomial time solutions are provided for the other two problems under certain conditions, respectively.
机译:本文研究了三个具有时变学习效应模型的单机调度问题,以最小化加权完成时间之和,完成时间的k次幂之和和最大延迟。我们表明最短的处理时间优先(SPT)规则是该问题的最佳解决方案,以最大程度地减少完成时间的第k次幂之和。在某些条件下,分别针对其他两个问题提供了多项式时间解。

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