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In this article, we study item shuffling (IS) problems arising in the logistics system of steel production. An IS problem here is to optimize shuffling operations needed in retrieving a sequence of steel items from a warehouse served by a crane. There are two types of such problems, plate shuffling problems (PSP) and coil shuffling problems (CSP), considering the item shapes. The PSP is modeled as a container storage location assignment problem. For CSP, a novel linear integer programming model is formulated considering the practical stacking and shuffling features. Several valid inequalities are constructed to accelerate the solving of the models. Some properties of optimal solutions of PSP and CSP are also derived. Because of the strong NP‐hardness of the problems, we consider some special cases of them and propose polynomial time algorithms to obtain optimal solutions for these cases. A greedy heuristic is proposed to solve the general problems and its worst‐case performances on both PSP and CSP are analyzed. A tabu search (TS) method with a tabu list of variable length is proposed to further improve the heuristic solutions. Without considering the crane traveling distance, we then construct a rolling variable horizon heuristic for the problems. Numerical experiments show that the proposed heuristic algorithms and the TS method are effective. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012 相似文献
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为了有效地获取滚动轴承具有可比性的加速寿命试验数据,利用已有加速寿命试验相关标准,结合实际滚动轴承加速寿命试验设计和实施中积累的经验,深入分析滚动轴承加速寿命试验过程中遇到的各种问题,提出一套完整的滚动轴承加速寿命试验方法。该方法对相关标准没有涉及的试验前检查、试验条件一致性分析和试验数据的处理方法进行了补充并对加速寿命试验进行深入分析,形成完整的滚动轴承加速寿命试验解决方案,可以有效地指导滚动轴承加速寿命试验的设计和实施。 相似文献