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Issue title: Fuzzy logic systems for transportation engineering
Guest editors: Dalin Zhang, Sabah Mohammed and Alessandro Calvi
Article type: Research Article
Authors: Jianzhu, Suna; b; * | Qingshan, Zhanga | Yinyun, Yuc
Affiliations: [a] School of Management, Shenyang University of Technology, Liaoning, Shenyang, China | [b] School of Management, Liaoning Institute of Science and Technology, Liaoning, Benxi, China | [c] School of Management, Jinan University, Guangdong, Guangzhou, China
Correspondence: [*] Corresponding author. Sun Jianzhu. E-mail: [email protected].
Abstract: Multi-site selection is a hot research issue for equipment manufacturing enterprises. With the development of smart industry, equipment manufacturing enterprises have entered the era of personalized and small batch manufacturing. Enterprises want to better meet customer needs and win competition, they must carry out scientific factory planning and site selection, so as to ensure quick response to the market. Based on this, this paper proposes a two-stage location selection model. Firstly, the method uses fuzzy numbers to express the demand size of demand points. Secondly, the distance factor is used as a criterion to select the candidate manufacturing bases with sufficient available resources. Next, the location model of enterprise manufacturing base is established which the goal of maximizing service efficiency and the constraints of time, cost and demand. Finally, a random numerical example is used to simulate the model, and lingo is used to solve it.
Keywords: Location decision, service benefit, uncertain demand, multiple locations
DOI: 10.3233/JIFS-189999
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 5139-5151, 2021
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