Cooperation and profit allocation in two-echelon logistics joint distribution network optimization |
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| Affiliation: | 1. School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China;2. School of Management and Economics, University of Electronic Science and Technology, Chengdu 610054, China;3. Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195-2700, USA;4. School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure, Systems, and Safety Control, Beihang University, Beijing 100191, China;1. Centre for Industrial Innovation for Competitiveness, Chongqing University, China;2. Institute of Innovation and Circular Economy, Asia University, Taiwan;3. Department of Industrial Engineering, Chongqing University, China;1. College of Economics and Management, China University of Petroleum, Qingdao, China;2. Department of Planning and Finance of China Petroleum Daily, Beijng, China;1. College of Mechanical Engineering, Chongqing University, Chongqing 400030, China;2. Management School, Chongqing University of Technology, Chongqing 400054, China;3. Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, Via Venezia, Cesena 52-47521, Italy;1. School of Maritime Economics and Management, Dalian Maritime University, Dalian 116000, China;2. School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China;3. Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA;1. Department of Business and Economics, University of Southern Denmark, Odense, Denmark;2. Department of Mechnical and Manufacturing Engineering, Aalborg University, Copenhagen, Denmark;3. Faculty of Management and Accounting, Allame Tabataba''i University Business School (ATUBS), Tehran, Iran |
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| Abstract: | Collaborative two-echelon logistics joint distribution network can be organized through a negotiation process via logistics service providers or participants existing in the logistics system, which can effectively reduce the crisscross transportation phenomenon and improve the efficiency of the urban freight transportation system. This study establishes a linear optimization model to minimize the total cost of two-echelon logistics joint distribution network. An improved ant colony optimization algorithm integrated with genetic algorithm is presented to serve customer clustering units and resolve the model formulation by assigning logistics facilities. A two-dimensional colony encoding method is adopted to generate the initial ant colonies. Improved ant colony optimization combines the merits of ant colony optimization algorithm and genetic algorithm with both global and local search capabilities. Finally, an improved Shapley value model based on cooperative game theory and a cooperative mechanism strategy are presented to obtain the optimal profit allocation scheme and sequential coalitions respectively in two-echelon logistics joint distribution network. An empirical study in Guiyang City, China, reveals that the improved ant colony optimization algorithm is superior to the other three methods in terms of the total cost. The improved Shapley value model and monotonic path selection strategy are applied to calculate the best sequential coalition selection strategy. The proposed cooperation and profit allocation approaches provide an effective paradigm for logistics companies to share benefit, achieve win–win situations through the horizontal cooperation, and improve the negotiation power for logistics network optimization. |
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| Keywords: | Two-echelon logistics joint distribution network Profit allocation Improved ant colony optimization Shapley value model Monotonic path selection strategy |
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