School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China.
PLoS One. 2018 Nov 8;13(11):e0206966. doi: 10.1371/journal.pone.0206966. eCollection 2018.
Distribution centers (DCs) are an important part of the modern logistics system. The selection of a location for a DC is significant for saving costs and reducing externalities caused by distribution. In this paper, we propose a new hybrid method based on the analytic hierarchy process (AHP) and 2-tuple hybrid ordered weighted averaging (THOWA) to select the location of a DC in a megacity. First, we propose a new set of evaluation criteria integrating economic, political, social and ecological information based on the characteristics of Chinese megacities. Second, subjective criteria weights are calculated by AHP combining the evaluation of logistics experts. Third, experts from academia, enterprise and government assess the performance of alternatives. In addition, the overall evaluation values are aggregated by an improved THOWA operator to rank the alternatives. Finally, we conduct a sensitivity analysis to investigate the influence of criteria weights on the decision-making process. The proposed method is novel and addresses the uncertainty under limited quantitative information, which has the advantages of avoiding information loss and distortion problems in the integrating process and operating linguistic evaluation information effectively. The proposed method can be practically applied by municipal planning departments in deciding on the location of new DCs. A numerical application of the proposed method is provided.
配送中心（DC）是现代物流系统的重要组成部分。选择 DC 的位置对于节省成本和减少配送带来的外部性至关重要。在本文中，我们提出了一种基于层次分析法（AHP）和 2-元混合有序加权平均（THOWA）的新混合方法，用于选择特大城市的 DC 位置。首先，我们根据中国特大城市的特点，提出了一套新的评价标准，整合了经济、政治、社会和生态信息。其次，通过 AHP 结合物流专家的评价计算主观标准权重。第三，学术界、企业和政府的专家对备选方案的绩效进行评估。此外，通过改进的 THOWA 算子对整体评价值进行聚合，以对备选方案进行排名。最后，我们进行了敏感性分析，以研究标准权重对决策过程的影响。所提出的方法具有创新性，解决了在有限的定量信息下的不确定性问题，具有避免信息丢失和在整合过程中失真的优点，并且有效地处理语言评价信息。所提出的方法可以由市政规划部门实际应用于决定新的 DC 位置。提供了一个数值应用实例。
