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A combined interval-valued ELECTRE TRI and TOPSIS approach for solving the storage location assignment problem

机译:区间值ELECTRE TRI和TOPSIS的组合方法用于解决存储位置分配问题

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摘要

Efficiency and effectiveness of logistic activities, in general, and of distribution networks, in particular, are largely influenced by the way warehouses operate as nodes of these networks. In recent years, warehouse management has undergone major changes due to the increase of e-commerce and competition in time-reduction. Despite that, logistic costs of warehouse processes (e.g. receiving, storage, order picking and shipping, etc.) are still often high. Referring to the order picking process, related activities may be optimized by a proper assignment of products to storage locations. In the literature, this problem is known as Storage Location Assignment Problem (SLAP). Due to the multi-criteria nature of SLAP, a combined ELECTRE TRI and TOPSIS based approach under an uncertain environment is designed in the present paper. Aiming at properly dealing with the uncertainty of the decision process, an interval extension of both ELECTRE TRI and TOPSIS is proposed. Therefore, ELECTRE TRI is firstly used to assign products to shelf levels whereas TOPSIS is afterwards applied to determine their storage locations within every level rather than using a random assignment policy. The whole methodology has been designed in cooperation with a Sicilian company that provides logistic services all over the Italian territory.
机译:总体上,尤其是物流网络,尤其是物流网络的效率和有效性,在很大程度上受作为这些网络节点的仓库运作方式的影响。近年来,由于电子商务的增加和减少时间的竞争,仓库管理发生了重大变化。尽管如此,仓库流程(例如接收,存储,订单拣选和运输等)的物流成本仍然经常很高。参照订单拣选过程,可以通过将产品正确分配到存储位置来优化相关活动。在文献中,此问题称为存储位置分配问题(SLAP)。由于SLAP的多标准性质,本文设计了一种在不确定环境下基于ELECTRE TRI和TOPSIS的组合方法。为了正确处理决策过程的不确定性,提出了ELECTRE TRI和TOPSIS的区间扩展。因此,首先使用ELECTRE TRI将产品分配到货架级别,然后使用TOPSIS确定产品在每个级别中的存储位置,而不是使用随机分配策略。整个方法是与一家在意大利境内提供物流服务的西西里公司合作设计的。

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