Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization
In modern supply chain, logistics companies usually operate individually and optimization researches often concentrate on solving problems related to separate networks. Consequences like the complexity of urban transportation networks and long distance deliveries or pickups and pollution are leading...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/4607493 |
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| author | Yong Wang Yingying Yuan Kevin Assogba Ke Gong Haizhong Wang Maozeng Xu Yinhai Wang |
| author_facet | Yong Wang Yingying Yuan Kevin Assogba Ke Gong Haizhong Wang Maozeng Xu Yinhai Wang |
| author_sort | Yong Wang |
| collection | DOAJ |
| description | In modern supply chain, logistics companies usually operate individually and optimization researches often concentrate on solving problems related to separate networks. Consequences like the complexity of urban transportation networks and long distance deliveries or pickups and pollution are leading problems to more expenses and more complaints from environment protection organizations. A solution approach to these issues is proposed in this article and consists in the adoption of two-echelon heterogeneous cooperative logistics networks (THCLN). The optimization methodology includes the formation of cooperative coalitions, the reallocation of customers to appropriate logistics facilities, and the determination of the best profit allocation scheme. First, a mixed integer linear programing model is introduced to minimize the total operating cost of nonempty coalitions. Thus, the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO) algorithm are hybridized to propose GA-PSO heuristics. GA-PSO is employed to provide good solutions to customer clustering units’ reallocation problem. In addition, a negotiation process is established based on logistics centers as coordinators. The case study of Chongqing city is conducted to verify the feasibility of THCLN in practice. The grand coalition and two heterogeneous subcoalitions are designed, and the collective profit is distributed based on cooperative game theory. The Minimum Cost Remaining Savings (MCRS) model is used to determine good allocation schemes and strictly monotonic path principles are considered to evaluate and decide the most appropriate coalition sequence. Comparisons proved the combination of GA-PSO and MCRS better as results are found closest to the core center. Therefore, the proposed approach can be implemented in real world environment, increase the reliability of urban logistics network, and allow decision makers to improve service efficiency. |
| format | Article |
| id | doaj-art-7772ce82a29f43a1b60417aa54ea519e |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-7772ce82a29f43a1b60417aa54ea519e2025-02-03T01:30:11ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/46074934607493Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network OptimizationYong Wang0Yingying Yuan1Kevin Assogba2Ke Gong3Haizhong Wang4Maozeng Xu5Yinhai Wang6School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, ChinaSchool of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, ChinaSchool of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97330, USASchool of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, ChinaSchool of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97330, USASchool of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, ChinaDepartment of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195-2700, USAIn modern supply chain, logistics companies usually operate individually and optimization researches often concentrate on solving problems related to separate networks. Consequences like the complexity of urban transportation networks and long distance deliveries or pickups and pollution are leading problems to more expenses and more complaints from environment protection organizations. A solution approach to these issues is proposed in this article and consists in the adoption of two-echelon heterogeneous cooperative logistics networks (THCLN). The optimization methodology includes the formation of cooperative coalitions, the reallocation of customers to appropriate logistics facilities, and the determination of the best profit allocation scheme. First, a mixed integer linear programing model is introduced to minimize the total operating cost of nonempty coalitions. Thus, the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO) algorithm are hybridized to propose GA-PSO heuristics. GA-PSO is employed to provide good solutions to customer clustering units’ reallocation problem. In addition, a negotiation process is established based on logistics centers as coordinators. The case study of Chongqing city is conducted to verify the feasibility of THCLN in practice. The grand coalition and two heterogeneous subcoalitions are designed, and the collective profit is distributed based on cooperative game theory. The Minimum Cost Remaining Savings (MCRS) model is used to determine good allocation schemes and strictly monotonic path principles are considered to evaluate and decide the most appropriate coalition sequence. Comparisons proved the combination of GA-PSO and MCRS better as results are found closest to the core center. Therefore, the proposed approach can be implemented in real world environment, increase the reliability of urban logistics network, and allow decision makers to improve service efficiency.http://dx.doi.org/10.1155/2018/4607493 |
| spellingShingle | Yong Wang Yingying Yuan Kevin Assogba Ke Gong Haizhong Wang Maozeng Xu Yinhai Wang Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization Journal of Advanced Transportation |
| title | Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization |
| title_full | Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization |
| title_fullStr | Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization |
| title_full_unstemmed | Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization |
| title_short | Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization |
| title_sort | design and profit allocation in two echelon heterogeneous cooperative logistics network optimization |
| url | http://dx.doi.org/10.1155/2018/4607493 |
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