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Article type: Research Article
Affiliations: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan, Shanxi Province, China
Correspondence: [*] Corresponding author. Wei Kai. E-mail: 2752567283@qq.com.
Abstract: In this study, we focus on the analysis of factors influencing the siting decision of coal emergency reserve centers. Specifically, we first draw on the quality function deployment theory in marketing to logically integrate the ideas of this study. On this basis, we adopted an interdisciplinary fuzzy decision-making method, namely the G1-entropy method, to quantitatively evaluate the research of this paper. Thereafter, we constructed a three-level index system based on the characteristics of the coal emergency reserve site selection, and used the G1-entropy value method to calculate the weights of the indicators in the coal emergency reserve center siting decision index system and obtain the results. Our research findings have found that the three key indicators of coal conventional reserve, emergency coal transportation methods, and emergency response time play a crucial role in the decision-making of coal emergency reserve center location. Therefore, we propose specific countermeasures and suggestions for these three key indicators. Our study can provide support for the government to better select the location of emergency coal reserves, better improve the national energy layout, and provide support for relevant decision makers on how to better reserve coal. The location of the emergency coal reserve center can better play the role of strategic reserve to stabilize the market function, effectively respond to the impact of various events on the energy market, and can make corresponding suggestions to the construction of the national energy security reserve system.
Keywords: Emergency reserve center, site selection decision, quality function deployment theory, G1 method, entropy value method
DOI: 10.3233/JIFS-232299
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 5, pp. 9029-9052, 2023
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