基于蚁群算法的卷烟物流配送路径优化研究  

Research on the Optimization of Cigarette Logistics Distribution Path Based on Ant Colony Algorithm

作　　者：马楠 王龙飞 MA Nan;WANG Longfei(Dehongzhou Company of Yunnan Tobacco Company,Mangshi 678400,Yunnan,China;School of Logistics and Management Engineering,Yunnan University of Finance and Economics,Kunming 650221,China)

机构地区：[1]云南省烟草公司德宏州公司,云南芒市6784001 [2]云南财经大学物流与管理工程学院,昆明650221

出　　处：《科技和产业》2024年第22期323-328,共6页Science Technology and Industry

基　　金：2023年云南省烟草公司德宏州公司科技计划项目(DHYCKJ202302)。

摘　　要：在全球化和信息技术的推动下,现代物流业正成为连接发达与发展中国家的关键纽带。现代物流通过信息化、网络化、智能化手段提升效率和优化供应链管理。卷烟物流的目的是确保卷烟产品能够快速、安全、准确地送达目的地。配送路径优化是卷烟物流的核心,通过减少配送时间,提高服务效率和客户满意度。蚁群算法作为启发式算法,在旅行商问题(TSP)、调度、路径规划等领域广泛应用。探讨蚁群算法在卷烟物流配送路径优化的应用。首先,介绍卷烟物流和配送路径优化相关概念,然后深入分析蚁群算法的理论和实施流程。接着,构建蚁群算法模型,解决卷烟物流配送问题,并通过仿真分析评价算法性能。最后,以云南省DH烟草公司为案例,探讨其卷烟物流配送路径优化策略。利用MATLAB仿真建模,研究显示蚁群算法能显著优化卷烟物流配送路径,降低成本,提升效率,为行业提供技术支撑。Driven by globalization and information technology,modern logistics industry is becoming a key link connecting developed and developing countries.Modern logistics improves efficiency and optimizes supply chain management through information technology,networking,and intelligent means.The purpose of cigarette logistics is to ensure that cigarette products can be delivered to their destination quickly,safely and accurately.Delivery path optimization is the core of cigarette logistics,which improves service efficiency and customer satisfaction by reducing delivery time.Ant colony algorithm,as a heuristic algorithm,was widely used in fields such as TSP,scheduling and path planning.The application of ant colony algorithm in optimizing the distribution path of cigarette logistics was explored.Firstly,the concepts related to cigarette logistics and distribution path optimization was introduced,and then the theory and implementation process of ant colony algorithm were deeply analyzed.Next,an ant colony algorithm model was constructed to solve the problem of cigarette logistics distribution,and the algorithm performance was evaluated through simulation analysis.Finally,taking DH Tobacco Company in Yunnan Province as a case study,the optimization strategy of its cigarette logistics distribution path was explored.Using Matlab simulation modeling,research has shown that ant colony algorithm can significantly optimize cigarette logistics distribution paths,reduce costs,improve efficiency,and provide technical support for the industry.

关 键 词：卷烟物流 配送路径优化 蚁群算法 MATLAB 

分 类 号：C934[经济管理—管理学] C931.1