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Optimizing location of manufacturing industries in the context of economic globalization: A bi-level model based approach

机译:经济全球化背景下的制造业地理位置:基于双层模型的方法

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This paper aims to optimize the locations of manufacturing industries in the context of economic globalization by proposing a bi-level programming model which integrates the location optimization model with the traffic assignment model. In the model, the transport network is divided into the subnetworks of raw materials and products respectively. The upper-level model is used to determine the location of industries and the OD matrices of raw materials and products. The lower-level model is used to calculate the attributes of traffic flow under given OD matrices. To solve the model, the genetic algorithm is designed. The proposed method is tested using the Chinese steel industry as an example. The result indicates that the proposed method could help the decision-makers to implement the location decisions for the manufacturing industries effectively. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文旨在通过提出与交通分配模型集成了地点编程模型的双级编程模型来优化了经济全球化的背景下的制造业地点。 在该模型中,传输网络分别分别分为原材料和产品的子网。 上层模型用于确定产业的位置和原材料和产品的OD矩阵。 较低级模型用于计算给定OD矩阵下的业务流量的属性。 为了解决模型,设计了遗传算法。 用中国钢铁行业测试所提出的方法作为一个例子。 结果表明,该方法可以帮助决策者有效地为制造业实施地点决策。 (c)2018年elestvier b.v.保留所有权利。

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