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Warehouse location selection by fuzzy multi-criteria decision making methodologies based on subjective and objective criteria

机译:基于主客观标准的模糊多准则决策方法进行仓库选址

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摘要

This paper proposes three new extended fuzzy multi-criteria decision making methodologies capable of handling subjective and objective factors for the evaluation and selection of warehouse location. A warehouse location selection problem involves both subjective as well as objective criteria. The concept of fuzzy set theory is integrated with the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS), Simple Additive Weight (SAW) and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) methods to assess subjective criteria in terms of subjective factor measures. A classical normalization technique is employed to assess the objective criteria in terms of objective factor measures. Subjective factor measures and objective factor measures are integrated by the Brown and Gibson model to calculate the warehouse location selection index. The proposed methods are illustrated with two examples of warehouse location selection. A comparative study of the results and a sensitivity analysis are carried out. The study finds that the proposed methodologies are useful and effective fuzzy multi-criteria decision making tools for the evaluation and selection of warehouse location in a supply chain.
机译:本文提出了三种新的扩展的模糊多准则决策方法,它们能够处理主观和客观因素,以评估和选择仓库位置。仓库位置选择问题涉及主观和客观标准。模糊集理论的概念与基于理想解决方案的TOPSIS(TOPSIS),简单相加权重(SAW)和基于目标分析(MOORA)方法的多目标优化相结合,以评估主观准则。主观因素量度的条款。采用经典的归一化技术根据客观因素测度评估客观标准。 Brown和Gibson模型将主观因素量度和客观因素量度相结合,以计算仓库选址指标。通过两个仓库位置选择示例说明了所提出的方法。对结果进行了比较研究和敏感性分析。研究发现,所提出的方法学是用于评估和选择供应链中仓库位置的有用且有效的模糊多准则决策工具。

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