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基于混合模糊层次分析法-决策试验与评价实验室法-理想解法的社会可持续供应链绩效评估:以制造企业为例

Social sustainable supply chain performance assessment using hybrid fuzzy-AHP-DEMATEL-VIKOR: a case study in manufacturing enterprises.

作者信息

Guo Rui, Wu Zhenyong

机构信息

Faculty of Engineering, National University of Singapore, Singapore, 117602 Singapore.

Research Center of Risk Management and Emergency Decision Making, School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044 Jiangsu China.

出版信息

Environ Dev Sustain. 2022 Aug 1:1-29. doi: 10.1007/s10668-022-02565-3.

DOI:10.1007/s10668-022-02565-3
PMID:35935514
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9341159/
Abstract

Sustainable supply chain management (SSCM) has received extensive attention by academia and industries recently. However, there are increasing yet still scarce studies measuring the social sustainability performance of supply chain and discussing the interrelationship between social and economic sustainability. Further, the measurement does not fully utilize key performance indicators (KPIs) attributing to the lack of understanding of precise quantitative gauge of the supply chain social sustainable performance. To bridge this gap, this study analyses the social and economic sustainability performance in terms of demand planning, innovation, manufacturing, finance, sales and customer relationship, distribution and delivery and compliance. A framework is proposed to locate key metrics to evaluate the social sustainable supply chain (SSC) performance. A hybrid fuzzy-AHP-DEMATEL-VIKOR method is designed to investigate the social sustainability of supply chain. Data analysis and a case study are given to validate and support the feasibility and potency of the proposed approach. The robustness of our proposed model is executed via sensitivity analysis. From the proposed framework, demand planning and distribution and delivery are found to be the most critical criteria in economic and social dimension, respectively.

摘要

可持续供应链管理(SSCM)近年来受到了学术界和行业的广泛关注。然而,衡量供应链社会可持续性绩效并探讨社会与经济可持续性之间相互关系的研究虽日益增多,但仍较为匮乏。此外,由于对供应链社会可持续绩效的精确量化衡量缺乏理解,这些衡量并未充分利用关键绩效指标(KPI)。为弥补这一差距,本研究从需求规划、创新、制造、财务、销售与客户关系、配送与交付以及合规等方面分析了社会和经济可持续性绩效。提出了一个框架来定位关键指标,以评估社会可持续供应链(SSC)绩效。设计了一种混合模糊层次分析法 - 决策试验与评价实验室法 - 多准则决策方法(fuzzy - AHP - DEMATEL - VIKOR)来研究供应链的社会可持续性。通过数据分析和案例研究来验证和支持所提方法的可行性和有效性。通过敏感性分析来检验我们所提模型的稳健性。从所提框架中发现,需求规划以及配送与交付分别是经济和社会维度中最关键的标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb5/9341159/6f083e07cdd1/10668_2022_2565_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb5/9341159/e3f080103041/10668_2022_2565_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb5/9341159/5bf89869f400/10668_2022_2565_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb5/9341159/fb0d6c2fa994/10668_2022_2565_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb5/9341159/ff254cb86295/10668_2022_2565_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb5/9341159/6f083e07cdd1/10668_2022_2565_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb5/9341159/e3f080103041/10668_2022_2565_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb5/9341159/5bf89869f400/10668_2022_2565_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb5/9341159/fb0d6c2fa994/10668_2022_2565_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb5/9341159/ff254cb86295/10668_2022_2565_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb5/9341159/6f083e07cdd1/10668_2022_2565_Fig5_HTML.jpg

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Applications of MCDM approach (ANP-TOPSIS) to evaluate supply chain solutions in the context of COVID-19.多准则决策方法(ANP-TOPSIS)在评估新冠疫情背景下供应链解决方案中的应用。
Heliyon. 2022 Mar 9;8(3):e09062. doi: 10.1016/j.heliyon.2022.e09062. eCollection 2022 Mar.