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Optimal coordination of resource allocation, due date assignment and scheduling decisions

机译:资源分配,截止日期分配和调度决策的最佳协调

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摘要

We study a single-machine scheduling problem in a flexible framework, where both job processing times and due dates are decision variables controllable by the scheduler. Our objective is to provide a practical tool for managers to optimally (or approximately) coordinate higher level decisions (such as delivery date quotation) with lower level (operational) decisions (such as scheduling and resource allocation). We analyze the problem for two due date assignment methods and a convex resource consumption function. For each due date assignment method, we provide a bicriteria analysis where the first criterion is to minimize the total weighted number of tardy jobs plus due date assignment cost, and the second criterion is to minimize total weighted resource consumption. These bicriteria problems are known to be NP-hard. In this paper, for each due date assignment method, we develop pseudo-polynomial algorithm and fully polynomial time approximation scheme (FPTAS) to minimize the total weighted number of tardy jobs plus due date assignment costs subject to an upper bound on the total weighted resource consumption. (C) 2015 Elsevier Ltd. All rights reserved.
机译:我们在灵活的框架中研究单机调度问题,其中作业处理时间和到期日都是可由调度程序控制的决策变量。我们的目标是为经理提供一种实用的工具,以最佳(或近似)地协调较高级别的决策(例如交货日期报价)与较低级别(运营)的决策(例如调度和资源分配)。我们分析了两种到期日分配方法和凸资源消耗函数的问题。对于每种到期日分配方法,我们提供了一个双向标准分析,其中第一个标准是最小化拖延工作的总加权数量加上到期日分配成本,第二个标准是最小化总加权资源消耗。这些双标准问题已知为NP难题。在本文中,对于每种到期日分配方法,我们开发了伪多项式算法和全多项式时间近似方案(FPTAS),以最大程度地减少迟到的工作的总加权数量加上到期日分配成本,该费用受总加权资源上限的限制消费。 (C)2015 Elsevier Ltd.保留所有权利。

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