基于故障风险的电动汽车项目排序ahp应用

Q4 Decision Sciences
Idriss Abdou, M. Tkiouat
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引用次数: 0

摘要

为了应对交通、经济和环境可持续发展方面的挑战,政府以及传统汽车制造商和消费者对电动汽车制造业和市场的发展极为感兴趣。然而,由于电动汽车和政府经济政策的一些限制,许多制造商担心进入电动汽车市场。将层次分析法(AHP)作为一种排序方法,提出了基于失败风险的电动汽车项目排序框架。AHP的层次结构是由不同决策级别的风险类别、风险因素和电动汽车项目候选者创建的。通过指定失效风险类别和失效风险因素,通过AHP中的成对比较,实现电动汽车项目失效风险和电动汽车项目的排序。排名结果为规划和决策提供了有用的信息。事实上,所提出的方法的结果可以指定可行的电动汽车项目,并在技术和经济层面上比较各种项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AN AHP APPLICATION FOR FAILURE RISK-BASED RANKING OF ELECTRIC VEHICLE PROJECTS
In order to address challenges in the sustainable development of transportation, economy, and environment, governments along with conventional automobile manufacturers and consumers are extremely interested in the development of the electric vehicle (EV) manufacturing industry and market. However, many manufacturers are worried about entering the EV market because of some of the limitations of EVs and government economic policies. A framework for failure risk-based ranking of EV projects is proposed that applies the Analytic Hierarchy Process (AHP) as a method of ranking. The hierarchy structure of the AHP is created with the risk categories, risk factors, and EV project candidates at different levels of the decision. By specifying the failure risk categories and failure risk factors, the ranking of EV project failure risks and the EV projects are accomplished via the pairwise comparison in the AHP. The results from the ranking provide useful information for planning and decision making. In fact, the results of the proposed method make it possible to specify the EV projects that are feasible to carry out and to compare the various projects at the technical and economic level.
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来源期刊
International Journal of the Analytic Hierarchy Process
International Journal of the Analytic Hierarchy Process Decision Sciences-Decision Sciences (all)
CiteScore
2.30
自引率
0.00%
发文量
22
审稿时长
12 weeks
期刊介绍: IJAHP is a scholarly journal that publishes papers about research and applications of the Analytic Hierarchy Process(AHP) and Analytic Network Process(ANP), theories of measurement that can handle tangibles and intangibles; these methods are often applied in multicriteria decision making, prioritization, ranking and resource allocation, especially when groups of people are involved. The journal encourages research papers in both theory and applications. Empirical investigations, comparisons and exemplary real-world applications in diverse areas are particularly welcome.
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