用于选择弹性-可持续供应商的最佳-最差法和模糊 TOPSIS 综合法

Sahar Varchandi , Ashkan Memari , Mohammad Reza Akbari Jokar
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引用次数: 0

摘要

在优先考虑业务连续性的同时,如何在选择供应商时实现经济、环境和社会因素之间的平衡,是一个相当大的挑战。必须保证所选供应商在支持公司经济发展的同时,遵守可持续发展和复原力要求。本研究通过一种新颖的方法解决了这一难题,该方法结合了最佳-最差法(BWM)和与理想解决方案相似的模糊技术优选次序法(F-TOPSIS)。整合这些方法减轻了成对比较的负担(这是使用多标准决策选择供应商时面临的共同挑战),从而简化了评估流程。为了评估所提模型的有效性,我们在一个实际的电子商务案例研究中实施了我们的方法,并对结果进行了敏感性分析。研究结果表明,与传统的 BWM 相比,建议的方法提高了各标准排名的一致性。它还在简便性和准确性之间取得了平衡,确保所选供应商有能力应对干扰和不确定性。这将实用的简单性与理论的严谨性结合在一起,使拟议的方法更容易为实际环境中的从业人员所使用和管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An integrated best–worst method and fuzzy TOPSIS for resilient-sustainable supplier selection

Achieving a balance between economic, environmental, and social factors in supplier selection while prioritizing business continuity poses a considerable challenge. It is imperative to guarantee that selected suppliers adhere to sustainability and resilience requirements while supporting the company’s economic advancement. This study addresses this challenge through a novel approach that combines the Best–Worst Method (BWM) with the Fuzzy Technique Order of Preference by Similarity to Ideal Solution (F-TOPSIS). Integrating these methodologies reduces the burden of pairwise comparisons, a common challenge in supplier selection using multi-criteria decision-making, thereby streamlining the evaluation process. To assess the effectiveness of the proposed model, we implemented our method on an actual case study of e-commerce and conducted a sensitivity analysis of the results. The findings suggest that the proposed method offers improved consistency in rankings across criteria compared to traditional BWM. It also makes a balance between simplicity and accuracy, ensuring that selected suppliers are equipped to handle disruptions and uncertainties. This aligns practical simplicity with theoretical rigor which makes the proposed method more accessible and manageable for practitioners in real-world settings.

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CiteScore
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