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An extended framework to evaluate sustainable suppliers in manufacturing companies using a new Pythagorean fuzzy entropy-SWARA-WASPAS decision-making approach
Journal of Enterprise Information Management ( IF 5.661 ) Pub Date : 2021-05-04 , DOI: 10.1108/jeim-07-2020-0263
Melfi Alrasheedi 1 , Abbas Mardani 2 , Arunodaya Raj Mishra 3 , Pratibha Rani 4 , Nanthakumar Loganathan 5
Affiliation  

Purpose

The purpose of this study to introduce a new extended framework to evaluate and rank the sustainable suppliers based on the different sustainable criteria in the manufacturing companies using a new fuzzy decision-making approach.

Design/methodology/approach

This paper introduces a new approach using decision-making and Pythagorean fuzzy sets (PFSs) to assess the best sustainable supplier. To doing so, this study integrated the entropy, stepwise weight assessment ratio analysis (SWARA) and weighted aggregates sum product assessment (WASPAS) methods under PFSs. To calculate the criteria weights, the combined entropy-SWARA method is used to compute the objective weight and subjective weight, respectively. Furthermore, the WASPAS model is utilized to rank sustainable supplier alternatives.

Findings

The results of the analysis found that occupational health and safety systems had the highest rank among other criteria, followed by green product and eco-design, green R&D and innovation and green technology. In addition, the findings of the paper demonstrated that the extended approach was efficient and useful for selecting and evaluating the best sustainable supplier in the manufacturing companies.

Originality/value

Recent years have witnessed a number of studies aimed at incorporating the sustainability standards into the supplier selection problem; however, only a little research has been conducted on developing a fuzzy method for decision-making in a manner to assess and choose suppliers with high sustainability in the insurance market, encompassing the three above-mentioned sustainability criteria.



中文翻译:

使用新的毕达哥拉斯模糊熵-SWARA-WASPAS 决策方法评估制造公司可持续供应商的扩展框架

目的

本研究的目的是引入一个新的扩展框架,使用新的模糊决策方法根据制造公司中不同的可持续标准对可持续供应商进行评估和排名。

设计/方法/方法

本文介绍了一种使用决策和毕达哥拉斯模糊集 (PFS) 来评估最佳可持续供应商的新方法。为此,本研究整合了 PFS 下的熵、逐步权重评估比分析 (SWARA) 和加权聚合和乘积评估 (WASPAS) 方法。为了计算标准权重,使用组合熵-SWARA方法分别计算客观权重和主观权重。此外,WASPAS 模型用于对可持续供应商替代品进行排名。

发现

分析结果发现,职业健康安全体系在其他标准中排名最高,其次是绿色产品和生态设计、绿色研发和创新以及绿色技术。此外,论文的研究结果表明,扩展方法对于选择和评估制造公司中最佳可持续供应商是有效和有用的。

原创性/价值

近年来见证了许多旨在将可持续性标准纳入供应商选择问题的研究;然而,关于开发一种模糊决策方法以评估和选择保险市场中具有高可持续性的供应商,包括上述三个可持续性标准,只有很少的研究进行了研究。

更新日期:2021-05-04
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