School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
School of Economics and Management, Guangxi Normal University, Guilin, China.
PLoS One. 2024 Apr 1;19(4):e0301390. doi: 10.1371/journal.pone.0301390. eCollection 2024.
How to evaluate the resilience level and change trend of supply chain is an important research direction in current supply chain management practice. This paper proposes a new method of supply chain resilience assessment based on hesitant fuzzy linguistic term set (HFLTS) and matter element extension theory. Firstly, based on the research status quo at home and abroad, a low-carbon enterprise supply chain resilience assessment index system is established, which includes six first-level indicators and corresponding 21 second-level indicators of product supply resilience, resource resilience, partner resilience, information response resilience, financial resilience and knowledge resilience. Secondly, HFLTS was used to collect expert opinions and Ordered Weighted Arithmetic (OWA) to calculate the expert composite language, by which the fuzzy evaluation matrix of supply chain resilience assessment indicators was obtained. Once again, the resilience indicator weights are determined based on a game-theoretic portfolio assignment method combining the best-worst method (BWM) and the CRITIC method. Finally, the nearness degree function is combined with the extension comprehensive evaluation method to improve the matter element extension model, and the supply chain resilience assessment model of low-carbon enterprises based on the game theory combination assignment-improved matter element extension is established. Taking X low-carbon enterprise as an example, the evaluation results show that the supply chain resilience level of this enterprise is II, and the eigenvalue of the grade variable is 2.69, and the supply chain resilience is shifting to III, and the supply chain resilience is shifting to III, which indicates that the supply chain resilience of this enterprise is being enhanced. Therefore, the improved matter element extension not only ensures the accuracy of the evaluation results, but also has higher prediction accuracy.
如何评估供应链的弹性水平和变化趋势是当前供应链管理实践中的一个重要研究方向。本文提出了一种基于犹豫模糊语言术语集（HFLTS）和物元可拓理论的供应链弹性评估新方法。首先，根据国内外研究现状，建立了低碳企业供应链弹性评估指标体系，包括产品供应弹性、资源弹性、伙伴弹性、信息响应弹性、财务弹性和知识弹性六个一级指标和相应的 21 个二级指标。其次，采用 HFLTS 收集专家意见，运用有序加权平均（OWA）计算专家综合语言，得到供应链弹性评估指标的模糊评价矩阵。再次，采用结合最佳最差法（BWM）和 CRITIC 法的博弈论组合赋值方法确定弹性指标权重。最后，结合贴近度函数和改进的物元可拓综合评价方法，建立基于博弈论组合赋值-改进物元可拓的低碳企业供应链弹性评估模型。以 X 低碳企业为例，评估结果表明，该企业供应链弹性水平为 II 级，等级变量的特征值为 2.69，供应链弹性正向 III 级转移，表明该企业供应链弹性不断增强。因此，改进的物元可拓不仅保证了评价结果的准确性，而且具有更高的预测精度。
