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An informative column generation and decomposition method for a production planning and facility location problem

机译:生产计划和设施选址问题的信息列生成和分解方法

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This paper develops an informative column generation and decomposition method for a capacitated multi-item lot sizing and facility location problem with backlogging. The method hybridizes column generation to achieve a relaxed linear solution and a lower bound and a decomposition method (i.e., relax-and-fix) to achieve a feasible solution. The two solutions are used for a neighborhood search procedure that fixes a subset of setup decision variables to iteratively reduce problem sizes. The relax-and-fix method is applied again to solve these smaller-size restricted problems with a purpose of progressively improving solution qualities. To show the effectiveness of the method, a number of computational tests are performed using newly-generated benchmark problems. Computational comparisons with a commercial solver (CPLEX) show that the proposed method provides competitive solution results. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文针对容量较大的多项目批量和设施积压问题,开发了一种信息量大的列生成和分解方法。该方法将列的生成杂交以获得松弛的线性解和下界,并分解方法(即松弛固定)获得可行的解。这两种解决方案用于邻域搜索过程,该过程修复设置决策变量的子集以迭代地减少问题的大小。再次使用松弛固定方法来解决这些较小尺寸的受限问题,目的是逐步提高解决方案的质量。为了显示该方法的有效性,使用新生成的基准问题进行了许多计算测试。与商用求解器(CPLEX)的计算比较表明,该方法提供了具有竞争力的解决方案结果。 (C)2015 Elsevier B.V.保留所有权利。

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