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The multi-item capacitated lot-sizing problem with setup times and shortage costs

机译:具有设置时间和短缺成本的多项目容量批量问题

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摘要

We address a multi-item capacitated lot-sizing problem with setup times and shortage costs that arises in real-world production planning problems. Demand cannot be backlogged, but can be totally or partially lost. The problem is NP-hard. A mixed integer mathematical formulation is presented. Our approach in this paper is to propose some classes of valid inequalities based on a generalization of Miller et al. [A.J. Miller, G.L. Nemhauser, M.W.P. Savelsbergh, On the polyhedral structure of a multi-item production planning model with setup times, Mathematical Programming 94 (2003) 375-405] and Marchand and Wolsey [H. Marchand, L.A. Wolsey, The 0-1 knapsack problem with a single continuous variable, Mathematical Programming 85 (1999) 15-33] results. We also describe fast combinatorial separation algorithms for these new inequalities. We use them in a branch-and-cut framework to solve the problem. Some experimental results showing the effectiveness of the approach are reported. (C) 2006 Elsevier B.V. All rights reserved.
机译:我们解决了在实际生产计划问题中出现的带有准备时间和短缺成本的多项目批量问题。需求不能积压,但可以全部或部分丢失。问题是NP难。提出了混合整数数学公式。在本文中,我们的方法是根据Miller等人的概论提出一些有效不等式。 [A.J. Miller,G.L. Nemhauser,M.W.P. Savelsbergh,关于带有设置时间的多项目生产计划模型的多面结构,Mathematical Programming 94(2003)375-405]和Marchand and Wolsey [H. Marchand,L.A. Wolsey,带有单个连续变量的0-1背包问题,《数学编程》 85(1999)15-33]。我们还描述了针对这些新不等式的快速组合分离算法。我们在分支剪切框架中使用它们来解决问题。一些实验结果表明了该方法的有效性。 (C)2006 Elsevier B.V.保留所有权利。

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