Pricing decisions with retail competition in a fuzzy closed-loop supply chain |
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| Authors: | Jie Wei Jing Zhao |
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| Affiliation: | 1. General Courses Department, Academy of Military Transportation, Tianjin 300161, China;2. School of Science, Tianjin Polytechnic University, Tianjin 300160, China;1. School of Economics and Business Administration, Chongqing University, Chongqing 400044, China;2. Chongqing Key Laboratory of Logistics, Chongqing University, Chongqing 400044, China;3. School of Management, Southwest University of Political Science and Law, Chongqing 401120, China;1. University of Science and Technology of China, The School of Management, Jinzhai Road 96#, Hefei, China;2. City University of Hong Kong, Department of Management Sciences, Hong Kong;1. Department of Mathematics, Bengal Institute of Technology, 1. no. Govt. Colony, Kolkata700150, West Bengal, India;2. Palpara Vidyamandir, Chakdaha 741222, West Bengal, India;3. School of Engineering and Sciences, Tecnologico de Monterrey, E. Garza Sada 2501 Sur, Monterrey C.P. 64849, Nuevo León, Mexico |
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| Abstract: | The optimal pricing decision problem of a fuzzy closed-loop supply chain with retail competition is considered in this paper. The fuzziness is associated with the customer demands, the remanufacturing cost and the collecting cost. By using game theory and fuzzy theory, the optimal decision on wholesale price, retail prices and remanufacturing rate are explored respectively under the centralized and the decentralized decision scenarios, and the expressions for them are also established. Some insights into the economic behavior of firms are given, which can serve as the basis for further study in the future. |
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