School of Economics and Management, Yanshan University, Qinhuangdao, 066004, China.
Environ Sci Pollut Res Int. 2023 Jun;30(29):74236-74264. doi: 10.1007/s11356-023-27470-8. Epub 2023 May 19.
With the continuous development of the global economy, global environmental pollution, climate degradation and global warming are becoming increasingly serious. In order to deal with the increasingly serious environmental problems, the government is vigorously supporting and promoting the development of new energy vehicles (NEVs). As the core unit of NEVs, one of the main challenges faced by hydrogen fuel cell (HFC) supplier is to select the best supplier for their business among all possible suppliers. Selecting the optimal supplier is a key decision in green supplier management. Therefore, it is extremely important and meaningful to select an optimal HFC supplier to provide power for NEVs. This paper proposes a new decision-making framework based on Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and Complex proportional assessment (COPRAS) method under interval-valued probabilistic linguistic environment to select the appropriate HFC supplier of NEVs. Firstly, this paper establishes the evaluation criteria system of HFC supplier assessment which is the synthesis of economical, environmental, social, technical, organisation and service aspects. Then, in order to express the uncertainty of expert decision-making, this paper uses interval-valued probabilistic linguistic term set (IVPLTS) to describe the evaluation information. Next, the interval-valued probabilistic linguistic term set decision-making trial and evaluation laboratory (IVPLTS-DEMATEL) method is applied to calculate the criteria weights. Moreover, this paper constructs the interval-valued probabilistic linguistic term set Complex Proportional Assessment (IVPLTS-COPRAS) model for the selection of HFC supplier of NEVs. Finally, a case in China with sensitivity analysis and comparison analysis are executed to illustrate the feasibility and validity of the proposed approach. This paper provides valuable references for investors and companies to select the most appropriate HFC supplier of NEVs under uncertain environment.
随着全球经济的不断发展，全球环境污染、气候恶化和全球变暖问题日益严重。为了应对日益严重的环境问题，政府大力支持和推动新能源汽车（NEV）的发展。作为 NEV 的核心单元，氢燃料电池（HFC）供应商面临的主要挑战之一是在所有可能的供应商中选择最适合其业务的供应商。选择最佳供应商是绿色供应商管理的关键决策。因此，选择最佳的 HFC 供应商为 NEV 提供动力极为重要且具有重要意义。本文提出了一种基于决策试验和评价实验室（DEMATEL）方法和区间概率语言集环境下的复杂比例评估（COPRAS）方法的新决策框架，用于选择合适的 NEV 氢燃料电池供应商。首先，本文建立了 HFC 供应商评估的评价准则体系，该体系是经济、环境、社会、技术、组织和服务方面的综合。然后，为了表达专家决策的不确定性，本文使用区间概率语言术语集（IVPLTS）来描述评价信息。接下来，应用区间概率语言术语集决策试验和评价实验室（IVPLTS-DEMATEL）方法计算准则权重。此外，本文构建了用于选择 NEV 氢燃料电池供应商的区间概率语言术语集复杂比例评估（IVPLTS-COPRAS）模型。最后，通过中国的一个案例进行了敏感性分析和对比分析，以验证所提出方法的可行性和有效性。本文为投资者和公司在不确定环境下选择最合适的 NEV 氢燃料电池供应商提供了有价值的参考。
