铁路物流2025，Vol.43Issue(1)：25-33,9.DOI:10.16669/j.cnki.issn.2097-5899.202406210001
车辆运输能力随机的应急物流选址-分配-路径优化
Emergency Logistics Location-Allocation-Routing Optimization with Stochastic Vehicle Transport Capacity
摘要
Abstract
To address the emergency logistics location-allocation-routing optimization problem(LARP)with stochastic vehicle transport capacity,this study considered constraints such as the service capacity of alternative facility sites,demand coverage,and the randomness of vehicle transport capacity.With the objectives of minimizing total service time and total vehicle transport time,a bi-level programming model was formed that included chance constraints for vehicle transport capacity.The upper-level model,focusing on the location-allocation problem,was solved using mathematical software,while the lower-level model,focusing on the vehicle-routing problem was addressed with the ant colony algorithm.After tests,the proposed hybrid algorithm could effectively solve the LARP.Finally,numerical examples were designed to validate the proposed mathematical model and solution method.The results indicate that the model considering the randomness of vehicle transport capacity is more in line with actual conditions and can better meet the needs of emergency logistics.关键词
物流工程/选址路径规划/蚁群算法/应急物流/机会约束Key words
Logistics Engineering/Location-Routing Planning/Ant Colony Algorithm/Emergency Logistics/Chance Constraint分类
管理科学引用本文复制引用
靳国伟,任维权,王文杰,严明,陈希,赵伊楠..车辆运输能力随机的应急物流选址-分配-路径优化[J].铁路物流,2025,43(1):25-33,9.基金项目
河北省高等学校社科研究项目(SQ2022078) （SQ2022078）
河北省军民融合发展研究课题(HB22JMRH035) （HB22JMRH035）
