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Lagrangean relaxation and hybrid simulated annealing tabu search procedure for a two-echelon capacitated facility location problem with plant size selection

机译:拉格朗日松弛法和混合模拟退火禁忌搜索程序,用于选择工厂规模的两梯级设施位置问题

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In this paper, we study a two-echelon capacitated facility location problem with plant size selection (TECFLP-PSS). Given a set of potential sites for plants, each of which is associated with several possible sizes and corresponding unit production costs, a set of potential sites for capacitated depots and a set of customers with demands, the TECFLP-PSS aims to optimise the plant locations and sizes, the depot locations and the product flows from the opened plants to the opened depots and then to the end customers under single-source constraints. The objective is to satisfy all customers' demands with a minimum total cost of facility opening, production and transportation. We develop a mixed integer programming model and propose a Lagrangean relaxation approach combined with new valid inequalities and core problem to achieve tight lower and upper bounds for this problem. We then improve the upper bound with a hybrid simulated annealing tabu search procedure. Computational experiments on benchmarks and randomly generated instances are conducted to validate the effectiveness and efficiency of the proposed method.
机译:在本文中,我们研究了具有工厂规模选择(TECFLP-PSS)的具有两级限制的设施选址问题。给定一组潜在的工厂地点,每个潜在地点都与几种可能的规模和相应的单位生产成本相关联,一组潜在的产能仓库和一些有需求的客户,TECFLP-PSS旨在优化工厂位置规模,规模,库房位置和产品在单一来源的约束下从已开张的工厂流向已开库的仓库,然后流向最终客户。目的是以最小的设施开放,生产和运输总成本满足所有客户的需求。我们开发了一个混合整数规划模型,并提出了一种拉格朗日松弛方法,结合了新的有效不等式和核心问题,以实现该问题的上下界。然后,我们通过混合模拟退火禁忌搜索程序来提高上限。进行了基准测试和随机生成实例的计算实验,以验证所提出方法的有效性和效率。

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