多式联运物流中心选址研究——单值中性粒细胞MABAC模型的应用

Q1 Engineering
D. Pamučar, Darko Božanić
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引用次数: 46

摘要

物流中心是一个独特的技术、空间、组织和经济统一体,将不同的物流服务提供商和用户聚集在一起。通过选择最佳LC位置,可以降低运输成本,提高业务绩效、竞争力和盈利能力。为了实现总体最优,有必要对LC的建设进行充分的评估和选择最佳地点。本文基于物流领域的新方法对潜在地点进行了评估。利用单值Neutrosophic(SVNN)多属性边界近似面积比较(MABAC)模型中集成的目标模型确定准则的权重系数。为了确定模型的稳定性,将SVNN MABAC模型与其他具有代表性的多准则模型进行了比较。在模型验证的最后部分,对SVNN MABAC模型与其他提出的方法(SVNN WASPAS、SVNN VIKOR、SVNN TOPSIS和SVNN CODAS)进行了统计相关性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selection of a location for the development of multimodal logistics center: Application of single-valued neutrosophic MABAC model
A logistics center (LC) is unique technological, spatial, organizational and economic unity that brings together different providers and users of logistics services. By selecting the optimal LC location, transport costs are reduced and business performance, competitiveness and profitability are improved. In order to achieve the overall optimum, it is necessary to perform adequate evaluation and selection of the optimal location for the construction of a LC. In this paper is performed the evaluation of potential locations based on new approach in the field of logistics. Weight coefficients of criteria are determined using objective model integrated in Single-Valued Neutrosophic (SVNN) Multi-Attributive Border Approximation Area Comparison (MABAC) model. In order to determine the stability of the model, the SVNN MABAC model is compared with other representative multi-criteria models. In the final part of the model validation, statistical correlation between the SVNN MABAC model and other proposed approaches  (SVNN WASPAS, SVNN VIKOR, SVNN TOPSIS and SVNN CODAS) is performed.
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来源期刊
CiteScore
7.90
自引率
0.00%
发文量
25
审稿时长
15 weeks
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