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Multi-product capacitated facility location problem with general production and building costs

机译:具有一般生产和建筑成本的多产品功能设施选址问题

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This research introduces the multi-product capacitated facility location problem with general production and building costs (MP-CFLPGC). The MP-CFLPGC extends previous problems found in the literature by including multiple products and general production and building cost functions that allow the modeling of different behaviors like economies of scale and congestion. The MP-CFLPGC is formulated as a mixed integer linear program (MILP). To evaluate the performance of the proposed formulation we analyze the results of a commercial optimizer on a set of 288 randomly generated test instances that resemble the Colombian cement industry supply chain. After one hour the optimizer achieved an optimality gap of 1.0 % or less in 55 % out of the 288 test instances. On average the optimality gap was 3.57 %. Additionally, we propose a randomized mathematical-programming-based heuristic for the test instances where the MILP formulation presents significantly high optimality gaps.
机译:这项研究介绍了具有一般生产和建筑成本的多产品功能设施选址问题(MP-CFLPGC)。 MP-CFLPGC通过包括多种产品以及一般的生产和建筑成本函数,扩展了文献中先前存在的问题,这些函数允许对不同行为进行建模,例如规模经济和交通拥堵。 MP-CFLPGC被公式化为混合整数线性程序(MILP)。为了评估建议配方的性能,我们在一组类似于哥伦比亚水泥行业供应链的288个随机生成的测试实例上分析了商业优化程序的结果。一小时后,在288个测试实例中,优化器在55%的范围内达到了1.0%或以下的最佳差距。平均而言,最佳差距为3.57%。此外,我们针对MILP公式呈现出极高的最佳差距的测试实例提出了一种基于随机数学程序的启发式方法。

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