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Robust multi-criteria decision making methodology for real life logistics center location problem
Artificial Intelligence Review ( IF 12.0 ) Pub Date : 2019-09-20 , DOI: 10.1007/s10462-019-09763-y
Mihrimah Özmen , Emel Kızılkaya Aydoğan

A logistics center is the hub of a specific area, within various logistics-related activities (distribution, storage, transportation, consolidation, handling, customs clearance, imports, exports, transit processes, infrastructural services, insurance, banking, etc.) that are performed on a commercial basis. Determining the location of the logistics center is an important decision regarding cost and benefit analysis. A three-stage methodology has been applied for presenting a framework for logistics center location selection in the context of Kayseri’s logistics development plan. The first stage includes the determination of criteria through literature review and interviews with experts. The second stage includes the weighting of determined criteria using linear BWM (best–worst method). The third stage includes the ranking of locations using the evaluation based on distance from average solution (EDAS) method with different distance measures. Our proposed methodology BWM–EDAS and also EDAS with different distance measures, which are applied for the first time in the literature, provides helpful findings to rank the logistics center locations. Lastly, sensitivity analysis is conducted to validate the robustness.

中文翻译:

现实生活中物流中心选址问题的鲁棒多标准决策方法

物流中心是特定区域的枢纽,在各种与物流相关的活动(配送、储存、运输、集运、装卸、清关、进口、出口、过境流程、基础设施服务、保险、银行等)中在商业基础上进行。确定物流中心的位置是有关成本和收益分析的重要决定。在开塞利物流发展计划的背景下,已应用三阶段方法提出物流中心选址框架。第一阶段包括通过文献回顾和专家访谈确定标准。第二阶段包括使用线性 BWM(最佳-最差方法)对确定的标准进行加权。第三阶段包括使用基于距离平均解(EDAS)方法的评估和不同距离度量的位置排名。我们提出的方法 BWM-EDAS 以及具有不同距离度量的 EDAS,它们在文献中首次应用,为对物流中心位置进行排名提供了有用的发现。最后,进行敏感性分析以验证稳健性。
更新日期:2019-09-20
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