Department of Management, Faculty of Humanities (Azadshahr Branch), Gonbad Kavous University, 49717-99151, Gonbad Kavous, Iran.
Sci Rep. 2021 Sep 30;11(1):19461. doi: 10.1038/s41598-021-98698-y.
Distribution is a strategic function of logistics in different companies. Establishing distribution centers (DCs) in appropriate locations helps companies to reach long-term goals and have better relations with their customers. Assessment of possible locations for opening new DCs can be considered as an MCDM (Multi-Criteria Decision-Making) problem. In this study, a decision-making approach is proposed to assess DC locations. The proposed approach is based on Stepwise Weight Assessment Ratio Analysis II (SWARA II), Method based on the Removal Effects of Criteria (MEREC), Weighted Aggregated Sum Product Assessment (WASPAS), simulation, and the assignment model. The assessment process is performed using the subjective and objective criteria weights determined based on multiple experts' judgments. The decision matrix, subjective weights and objective weights are modeled based on the triangular probability distribution to assess the possible alternatives. Then, using simulation and the assignment model, the final aggregated results are determined. A case of DC locations assessment is addressed to show the applicability of the proposed approach. A comparative analysis is also made to verify the results. The analyses of this study show that the proposed approach is efficient in dealing with the assessment of DC locations, and the final results are congruent with those of existing MCDM methods.
在不同的公司中,配送是物流的一个战略功能。在合适的地点建立配送中心(DC)有助于公司实现长期目标,并与客户建立更好的关系。评估开设新 DC 的可能地点可以被视为一个多准则决策分析(MCDM)问题。在本研究中,提出了一种用于评估 DC 位置的决策方法。该方法基于逐步权重评估比率分析 II(SWARA II)、基于准则消除效应的方法(MEREC)、加权聚合和乘积评估(WASPAS)、模拟和分配模型。评估过程是使用基于多位专家判断确定的主观和客观标准权重来执行的。决策矩阵、主观权重和客观权重基于三角概率分布进行建模,以评估可能的替代方案。然后,使用模拟和分配模型确定最终的综合结果。通过一个 DC 位置评估案例来说明所提出方法的适用性。还进行了比较分析以验证结果。本研究的分析表明,所提出的方法在处理 DC 位置评估方面是有效的,并且最终结果与现有的 MCDM 方法一致。