中国烟草学报2024，Vol.30Issue(2)：80-91,12.DOI:10.16472/j.chinatobacco.2022.036
计及多目标约束的成品卷烟销售订单配送调度优化
Optimization of multi-objective constrained distribution scheduling of finished cigarette sales orders
摘要
Abstract
Aiming at the scheduling problem in the cross-region multi-transportation center logistics scheduling model in the manufacturing supply chain under big data context,the heterogeneous vehicle scheduling problem involving multiple constraints and multiple objectives is investigated.Based on the actual transportation task requirements of the tobacco manufacturing industry,a heterogeneous vehicle scheduling model with the shortest transportation time,lowest transportation cost,and highest vehicle utilization rate as the optimization objectives are built.A hybrid multivariate universe algorithm based on differential evolution is designed.Finally,based on the actual order data of a tobacco industrial enterprise,the designed algorithm is compared with the cutting-edge algorithms such as particle swarm algorithm,differential evolution algorithm,whale optimization algorithm,crow search algorithm,Aquila Optimizer,and multiverse algorithm.The results showed that the designed algorithm outperformed other algorithms in terms of global search capability and convergence rate.It further shows that the developed model is feasible for solving the vehicle scheduling problem of the manufacturing supply chain.关键词
多目标约束/成品卷烟/配送调度/路径优化/多元宇宙算法Key words
multi-objective constraint/finished cigarettes/distribution scheduling/path optimization/multiverse algorithm引用本文复制引用
欧阳世波,张淼寒,谢俊明,安裕强,韩宇航,周心博,潘楠..计及多目标约束的成品卷烟销售订单配送调度优化[J].中国烟草学报,2024,30(2):80-91,12.基金项目
红云红河烟草(集团)有限责任公司科技项目"计及多维目标优化的成品烟物流调度关键技术研究"(No.HYHH2021XX04) （集团）
红云红河烟草(集团)有限责任公司科技项目"卷烟成品智慧物流园区建设研究"(No.HYHH2020XX03) （集团）
