Robust and fuzzy goal programming optimization approaches for a novel multi-objective hub location-allocation problem: A supply chain overview |
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| Affiliation: | 1. College of Resources and Environment, Huazhong Agriculture University, Wuhan, China;2. Department of Geography, National University of Singapore, Singapore;3. Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, China;4. Department of geography and resource management, The Chinese University of Hong Kong, Hong Kong;5. Shenzhen Research Institute, Chinese University of Hong Kong, Hong Kong;1. Industrial Engineering Department, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Irann;2. Business Systems and Analytics Department, Distinguished Chair of Business Analytics, La Salle University, Philadelphia, PA 19141, USA;3. Business Information Systems Department, Faculty of Business Administration and Economics, University of Paderborn, D-33098 Paderborn, Germany;4. Department of Mathematics and Statistics, York University, Toronto M3J 1P3, Canada;5. Polo Tecnologico IISS G. Galilei, Via Cadorna 14, 39100 Bolzano, Italyn |
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| Abstract: | In this paper, a novel multi-objective mathematical model is developed to solve a capacitated single-allocation hub location problem with a supply chain overview. Three mathematical models with various objective functions are developed. The objective functions are to minimize: (a) total transportation and installation costs, (b) weighted sum of service times in the hubs to produce and transfer commodities and the tardiness and earliness times of the flows including raw materials and finished goods, and (c) total greenhouse gas emitted by transportation modes and plants located in the hubs. To come closer to reality, some of the parameters of the proposed mathematical model are regarded as uncertain parameters, and a robust approach is used to solve the given problem. Furthermore, two methods, namely fuzzy multi-objective goal programming (FMOGP) and the Torabi and Hassini's (TH) method are used to solve the multi-objective mathematical model. Finally, the concluding part presents the comparison of the obtained results. |
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| Keywords: | Fuzzy goal programming Multi-objective hub location Supply chain network |
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