Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce Logistics
To promote the green and high-quality development of rural e-commerce logistics, we propose the Two-Echelon Location-Routing Problem with Fuzzy Demand (2E-LRP-FD) of the rural e-commerce logistics network. Considering fuzzy demand, government subsidies and simultaneous delivery, the objective functi...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb, Faculty of Transport and Traffic Sciences
2025-02-01
|
| Series: | Promet (Zagreb) |
| Subjects: | |
| Online Access: | https://traffic2.fpz.hr/index.php/PROMTT/article/view/578 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832086521384009728 |
|---|---|
| author | Xiaojuan LU Jianjun WANG Shuai WU Shiyu ZHENG Qian LIU |
| author_facet | Xiaojuan LU Jianjun WANG Shuai WU Shiyu ZHENG Qian LIU |
| author_sort | Xiaojuan LU |
| collection | DOAJ |
| description | To promote the green and high-quality development of rural e-commerce logistics, we propose the Two-Echelon Location-Routing Problem with Fuzzy Demand (2E-LRP-FD) of the rural e-commerce logistics network. Considering fuzzy demand, government subsidies and simultaneous delivery, the objective function aims to maximise the profit of enterprises considering government subsidies. The fuzzy chance-constrained programming method is used to deal with the triangular fuzzy variables of pickup demands. Additionally, we present a two-stage Improved Non-Dominated Sorting Genetic Algorithm II (INSGA-II) that integrates stochastic simulation and a K-means clustering algorithm to effectively solve the problem. In the end, the numerical experiments of algorithm and model design are verified. The experimental results demonstrate that the proposed INSGA-II is significantly efficient and effective. Furthermore, we discuss the relationship between subsidy strategies and logistics enterprise profits. This research contributes valuable insights for the establishment of rural e-commerce logistics systems. |
| format | Article |
| id | doaj-art-95f4bfbdc72443f1ba1eb142fcca48e6 |
| institution | Kabale University |
| issn | 0353-5320 1848-4069 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
| record_format | Article |
| series | Promet (Zagreb) |
| spelling | doaj-art-95f4bfbdc72443f1ba1eb142fcca48e62025-02-06T12:36:21ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692025-02-013718610410.7307/ptt.v37i1.578578Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce LogisticsXiaojuan LU0Jianjun WANG1Shuai WU2Shiyu ZHENG3Qian LIU4Chang’an University, School of Transportation EngineeringChang’an University, School of Transportation EngineeringChang’an University, School of Transportation EngineeringChang’an University, School of Transportation EngineeringChang’an University, School of Transportation EngineeringTo promote the green and high-quality development of rural e-commerce logistics, we propose the Two-Echelon Location-Routing Problem with Fuzzy Demand (2E-LRP-FD) of the rural e-commerce logistics network. Considering fuzzy demand, government subsidies and simultaneous delivery, the objective function aims to maximise the profit of enterprises considering government subsidies. The fuzzy chance-constrained programming method is used to deal with the triangular fuzzy variables of pickup demands. Additionally, we present a two-stage Improved Non-Dominated Sorting Genetic Algorithm II (INSGA-II) that integrates stochastic simulation and a K-means clustering algorithm to effectively solve the problem. In the end, the numerical experiments of algorithm and model design are verified. The experimental results demonstrate that the proposed INSGA-II is significantly efficient and effective. Furthermore, we discuss the relationship between subsidy strategies and logistics enterprise profits. This research contributes valuable insights for the establishment of rural e-commerce logistics systems.https://traffic2.fpz.hr/index.php/PROMTT/article/view/578two-echelon location-routing problemfuzzy demandk-means clusteringimproved nsga-iirural e-commerce logistics |
| spellingShingle | Xiaojuan LU Jianjun WANG Shuai WU Shiyu ZHENG Qian LIU Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce Logistics Promet (Zagreb) two-echelon location-routing problem fuzzy demand k-means clustering improved nsga-ii rural e-commerce logistics |
| title | Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce Logistics |
| title_full | Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce Logistics |
| title_fullStr | Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce Logistics |
| title_full_unstemmed | Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce Logistics |
| title_short | Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce Logistics |
| title_sort | two echelon location routing problem with fuzzy demand of rural e commerce logistics |
| topic | two-echelon location-routing problem fuzzy demand k-means clustering improved nsga-ii rural e-commerce logistics |
| url | https://traffic2.fpz.hr/index.php/PROMTT/article/view/578 |
| work_keys_str_mv | AT xiaojuanlu twoechelonlocationroutingproblemwithfuzzydemandofruralecommercelogistics AT jianjunwang twoechelonlocationroutingproblemwithfuzzydemandofruralecommercelogistics AT shuaiwu twoechelonlocationroutingproblemwithfuzzydemandofruralecommercelogistics AT shiyuzheng twoechelonlocationroutingproblemwithfuzzydemandofruralecommercelogistics AT qianliu twoechelonlocationroutingproblemwithfuzzydemandofruralecommercelogistics |