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The double-assignment plant location problem with co-location

机译:共同位置的双重分配工厂定位问题

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In this paper, a new variant of the Simple Plant Location Problem is proposed. We consider additional conditions in the classic location-allocation problem for clients and facilities. Namely, some pairs have to be served by a common plant. The resulting problem can be addressed with existing models for the case of single assignment. However, to the best of our knowledge, the proposed setting when each client must be assigned to a couple of facilities is still unexplored. We examine the implications of adding such new constraints to standard formulations of the SPLP with double assignment. We compare the resulting formulations from a theoretical point of view. After that, we focus on the study of one of the models, which turned out to be a set packing problem. All the clique facets are identified and a separation algo-rithm is devised. Although the separation problem is proved to be NP-hard, our computational experience shows that the separation algorithm is effective and efficient, reducing computational times and duality gaps for all the instances tested. (C) 2020 Elsevier Ltd. All rights reserved.
机译:在本文中,提出了一种新的植物位置问题的新变种。我们考虑客户和设施的经典位置问题的额外条件。即,必须由普通植物提供一些对。对于单个分配的情况,可以使用现有模型来解决结果问题。然而,据我们所知,当每个客户必须被分配给几个设施时,建议的设置仍未开发。我们检查将这种新约束添加到SPLP的标准配方中的含义,双重分配。我们将由此产生的制剂与理论的观点进行比较。之后,我们专注于对其中一个模型的研究,结果是一个设置的包装问题。识别出所有的Clique刻面,并设计了分离算法。虽然被证明是分离问题是NP - 硬,但我们的计算体验表明,分离算法是有效且有效的,减少所有测试的所有实例的计算时间和二元间隙。 (c)2020 elestvier有限公司保留所有权利。

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