Two-Echelon Multidepot Logistics Network Design with Resource Sharing
Resource sharing within a logistics network offers an effective way to solve problems resulting from inefficient and costly operations of individual logistics facilities. However, the existing analysis of resource sharing and profit allocation is still limited. Therefore, this study aims to model re...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/6619539 |
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| _version_ | 1832549766620250112 |
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| author | Siyu Luo Yong Wang Jinjun Tang Xiangyang Guan Maozeng Xu |
| author_facet | Siyu Luo Yong Wang Jinjun Tang Xiangyang Guan Maozeng Xu |
| author_sort | Siyu Luo |
| collection | DOAJ |
| description | Resource sharing within a logistics network offers an effective way to solve problems resulting from inefficient and costly operations of individual logistics facilities. However, the existing analysis of resource sharing and profit allocation is still limited. Therefore, this study aims to model resource sharing in two-echelon delivery and pickup logistics networks to improve the overall efficiency and decrease the total network operating cost. A bi-objective integer programming model is first proposed for two-echelon collaborative multidepot pickup and delivery problems with time windows (2E-CMDPDTW) to seek the minimization of operating costs and number of vehicles. Integrating a customer clustering algorithm, a greedy algorithm, and an improved nondominated sorting genetic algorithm-II (Im-NSGA-II), a hybrid method is then designed to handle the 2E-CMDPDTW model. The customer clustering and the greedy algorithms are employed to generate locally optimized initial solutions to accelerate the calculating velocity and guarantee the diversity of feasible solutions. The Im-NSGA-II combines the order crossover operation and the polynomial mutation process to find the optimal solution of the 2E-CMDPDTW. The comparative results show that the proposed hybrid method outperforms the NSGA-II and the multiobjective genetic algorithm. Furthermore, a Shapley value method is used for allocating total profits of established alliances and finding an optimal coalition sequence of the logistics facilities joining alliances based on the strictly monotonic path strategy. Finally, a case study of 2E-CMDPDTW in Chongqing China is conducted to validate the feasibility. Results indicate that this study contributes to long-term partnerships between logistics facilities within multi-echelon logistics networks in practice and contributes to the long-term sustainability of urban logistics pickup and delivery networks’ development. |
| format | Article |
| id | doaj-art-03cb6a27cf8e4c26b42bfc528dd61b33 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-03cb6a27cf8e4c26b42bfc528dd61b332025-02-03T06:08:33ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/66195396619539Two-Echelon Multidepot Logistics Network Design with Resource SharingSiyu Luo0Yong Wang1Jinjun Tang2Xiangyang Guan3Maozeng Xu4School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, ChinaSchool of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, ChinaSmart Transport Key Laboratory of Hunan Province, School of Traffic and Transportation Engineering, Central South University, Changsha 410075, ChinaDepartment of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USASchool of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, ChinaResource sharing within a logistics network offers an effective way to solve problems resulting from inefficient and costly operations of individual logistics facilities. However, the existing analysis of resource sharing and profit allocation is still limited. Therefore, this study aims to model resource sharing in two-echelon delivery and pickup logistics networks to improve the overall efficiency and decrease the total network operating cost. A bi-objective integer programming model is first proposed for two-echelon collaborative multidepot pickup and delivery problems with time windows (2E-CMDPDTW) to seek the minimization of operating costs and number of vehicles. Integrating a customer clustering algorithm, a greedy algorithm, and an improved nondominated sorting genetic algorithm-II (Im-NSGA-II), a hybrid method is then designed to handle the 2E-CMDPDTW model. The customer clustering and the greedy algorithms are employed to generate locally optimized initial solutions to accelerate the calculating velocity and guarantee the diversity of feasible solutions. The Im-NSGA-II combines the order crossover operation and the polynomial mutation process to find the optimal solution of the 2E-CMDPDTW. The comparative results show that the proposed hybrid method outperforms the NSGA-II and the multiobjective genetic algorithm. Furthermore, a Shapley value method is used for allocating total profits of established alliances and finding an optimal coalition sequence of the logistics facilities joining alliances based on the strictly monotonic path strategy. Finally, a case study of 2E-CMDPDTW in Chongqing China is conducted to validate the feasibility. Results indicate that this study contributes to long-term partnerships between logistics facilities within multi-echelon logistics networks in practice and contributes to the long-term sustainability of urban logistics pickup and delivery networks’ development.http://dx.doi.org/10.1155/2021/6619539 |
| spellingShingle | Siyu Luo Yong Wang Jinjun Tang Xiangyang Guan Maozeng Xu Two-Echelon Multidepot Logistics Network Design with Resource Sharing Journal of Advanced Transportation |
| title | Two-Echelon Multidepot Logistics Network Design with Resource Sharing |
| title_full | Two-Echelon Multidepot Logistics Network Design with Resource Sharing |
| title_fullStr | Two-Echelon Multidepot Logistics Network Design with Resource Sharing |
| title_full_unstemmed | Two-Echelon Multidepot Logistics Network Design with Resource Sharing |
| title_short | Two-Echelon Multidepot Logistics Network Design with Resource Sharing |
| title_sort | two echelon multidepot logistics network design with resource sharing |
| url | http://dx.doi.org/10.1155/2021/6619539 |
| work_keys_str_mv | AT siyuluo twoechelonmultidepotlogisticsnetworkdesignwithresourcesharing AT yongwang twoechelonmultidepotlogisticsnetworkdesignwithresourcesharing AT jinjuntang twoechelonmultidepotlogisticsnetworkdesignwithresourcesharing AT xiangyangguan twoechelonmultidepotlogisticsnetworkdesignwithresourcesharing AT maozengxu twoechelonmultidepotlogisticsnetworkdesignwithresourcesharing |