A NOVEL DECISION-MAKING FRAMEWORK BASED ON PROBABILISTIC LINGUISTIC TERM SET FOR SELECTING SUSTAINABLE SUPPLIER CONSIDERING SOCIAL CREDIT

A NOVEL DECISION-MAKING FRAMEWORK BASED ON PROBABILISTIC LINGUISTIC TERM SET FOR SELECTING SUSTAINABLE SUPPLIER CONSIDERING SOCIAL CREDIT
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基于概率语言术语集的考虑社会信用的可持续供应商选择的新型决策框架

DOI:
10.3846/tede.2021.15351
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发表时间:
2021-09
影响因子:
5.9
通讯作者:
Gong Ke
Gong Ke
中科院分区:
经济学3区
文献类型:
--
作者:
Dong Yuanxiang;Zheng Xumei;Xu Zeshui;Chen Weijie;Shi Hongbo;Gong Ke

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可持续供应商选择(SSS)已成为竞争环境中决策者的一项重要任务。我们为SSS构建了一个新的决策框架。首先,经典的社会稳定性通常包括环境、社会和经济方面的固定因素。同时,随着我国政府大力推进企业社会信用体系建设,我们从信用的角度引入了新的社会因素。其次,我们使用概率语言术语集(PLTS)收集专家对因素之间交互影响的判断。第三,将联合收割机PLTS与决策试验与评估实验室(DEMATEL)方法相结合,识别关键成功因素(CSF),以提高决策效率。并定义了相对重要度、标准相对重要度、重要度偏差和影响度,以反映各因素之间的交互影响。为了消除主观因素的影响,我们将联合收割机熵权法和DEMATEL法相结合来计算权重。第四,我们重新定义了优势度,并将其应用到SSS的TODIM方法中。最后,以某新能源汽车企业为例,验证了该决策框架的有效性。在此基础上,进行了敏感性分析和方法比较。结果表明,该决策框架是有效的。
Sustainable supplier selection (SSS) has become an essential task for decision-makers in competitive environments. We construct a new decision-making framework for SSS. First, classical SSS usually includes fixed factors in environmental, social and economic dimensions. Differently, we adopt new social factors from credit perspective with corporate social credit system being promoted vigorously by the Chinese government. Next, we employ probabilistic linguistic term sets (PLTSs) to collect experts’ judgments about interactive influence between factors. Third, we combine PLTSs with Decision Making Trial and Evaluation Laboratory (DEMATEL) method to identify critical success factors (CSFs) for improving decision-making efficiency. And we also give definition to relative importance degree, standard relative importance degree, deviation of importance degree and influence degree to reflect the interactive influence between factors. To eliminate subjective influence, we combine entropy weighting approach and DEMATEL to compute weights. Fourthly, we redefine dominance degree and apply it into TODIM method for SSS. Finally, the proposed decision-making framework’s effectiveness is verified by using the case study of a new energy vehicle (NEV) company. Based on this, sensitivity analysis and comparison of methods are conducted. The results verify that the decision-making framework is valid and effective for SSS.
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