Journal of Quality Engineering and Production Optimization

Journal of Quality Engineering and Production Optimization

Risk assessment of public-private partnership projects for electric vehicle charging through an extended MCDM method with interval-type 2 fuzzy sets

Document Type : Research Paper

Authors
Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
Abstract
Due to the growing global attention to clean energy in the world, projects of electric vehicles (EVs) have greatly increased all around the world. The lack of charging infrastructure in developing countries has become a major problem. In this situation, governments engage the private sector to improve the charging infrastructure. Assessing the risk factors (RFs) under these circumstances is essential. In this paper, the important RFs are detected. Moreover, the weights of important RFs are identified through an extended version of the BWM approach. Furthermore, the overall risk levels of public-private partnership (PPP) charging projects are specified by using an integrated ELECTRE-VIKOR approach. To address uncertainty in risk identification, weighting, and ranking in practical situations, interval type-2 fuzzy sets (IT2FSs) are employed. IT2FSs provide more space for experts to cope with the uncertainty. Extended weighting and ranking methods are developed under IT2FSs. Finally, an example in the field of EV charging projects (EVCPs) is provided. The proposed framework was further validated through a comparative analysis with fuzzy VIKOR, fuzzy ELECTRE, and BWM–TOPSIS. The results demonstrated high consistency across the methods, supporting the credibility of the proposed approach.
Keywords

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