An integrated decision-making approach for sustainable supplier selection in the chemical industry

An integrated decision-making approach for sustainable supplier selection in the chemical industry
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化工行业可持续供应商选择的综合决策方法

DOI:
10.1016/j.eswa.2021.115553
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发表时间:
2021-12
影响因子:
8.5
通讯作者:
Barnes David
Barnes David
中科院分区:
计算机科学1区
文献类型:
--
作者:
Wu Chong;Lin Yang;Barnes David

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由于生态保护意识的增强和随之而来的严格立法,商业组织非常有动力改善其供应链的可持续绩效,以实现可持续发展目标。化工行业是一个高风险、高污染和高效率的行业,供应商选择的系统和可持续发展评估体系将使其受益。然而,到目前为止,很少有研究从经济、社会和环境角度对该行业的特征进行必要的深入分析。尽管已经提出了许多方法和模型来解决可持续供应商选择(SSS)问题,但还没有研究考虑每个三重底线维度的不同特征。因此,本文针对这一问题,提出了一种适用于化工企业的混合多方法多准则决策框架。根据化工行业的具体特点,分别应用模糊灰色关联度分析(FGRA)、失效模式与影响分析(FMEA)和云计算-熵权法(EWM)对化工企业的经济、社会、环境三个维度进行分析。最后,本研究利用决策试行与评估实验室(DEMATEL)整合三个维度的评估结果。所提出的方法和决策模型可以帮助化工行业可持续供应链的管理者选择更可持续的供应商,快速响应市场需求,保持较高的市场竞争力。最后,以中国某大型石化企业为例,验证了该框架和模型的实用性和可靠性。
Due to an increased awareness of ecological protection and resultant stringent legislations, business organizations are highly motivated to improve the sustainable performance of their supply chain in order to achieve sustainable development goals. The chemical industry is a high-risk, high-pollution, and high-efficiency industry, that would benefit from a systematic and sustainability focused evaluation system for supplier selection. Yet, to date, few studies have conducted the necessary in-depth analysis of the characteristics of this industry from the economic, social, and environmental perspectives. Despite the many methods and models that have been proposed to resolve the sustainable supplier selection (SSS) problem, no research has yet considered the different characteristics of each triple bottom line dimension. Accordingly, this paper addresses this problem by proposing a hybrid multi-method and multi-criteria decision-making framework for SSS in the chemical industry. Based on specific characteristics of the chemical industry, this study applies Fuzzy Grey Relational Analysis (FGRA), Failure Mode and Effects Analysis (FMEA), and cloud computing-entropy weight method (EWM) to analyze the economic, social, and environmental dimensions, respectively. Finally, this study integrates the evaluation results of the three dimensions using the Decision-making Trial and Evaluation Laboratory (DEMATEL). The proposed approach and decision-making model can help managers of sustainable supply chains in the chemical industry to choose more sustainable suppliers, respond to market demands quickly, and maintain high competitiveness in the market. An illustrative application of the proposed framework and model is undertaken in one of the biggest Chinese petrochemical companies to verify its practicality and reliability.
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