随机需求下连锁零售企业的LIRP问题集成优化  

Integrated LIRP Optimization for Chain Retail Enterprises with Stochastic Demand

作　　者：钱叶霞 陈湉 QIAN Yexia;CHEN Tian(School of Business,Fuzhou Institute of Technology,Fuzhou 350506,China)

机构地区：[1]福州理工学院商学院,福建福州350506

出　　处：《物流技术》2023年第5期74-78,126,共6页Logistics Technology

基　　金：福州理工学院校级科研基金项目“随机需求下连锁零售企业选址-库存-路径集成优化研究”(FTKY2022022);福建省社会科学基金项目“平台经济下快递从业人员劳动权益保护研究”(FJ2021B141)。

摘　　要：在一个二级物流配送系统中,针对多个备选点、多个需求点的LIRP问题,以连锁零售企业H公司为例,考虑到门店分散和需求随机性的影响,建立随机需求下以总成本最小为目标的双层规划模型,通过上层规划(F)和下层规划(U)之间的关联和约束,将选址、库存和车辆路径三者进行了有效集成。通过MATLAB软件编程,第Ⅰ阶段运用免疫遗传算法和蚁群算法实现对双层规划模型的求解,第Ⅱ阶段对第Ⅰ阶段产生的初始解进行优化,以得出全局最优解,并对优化效果进行了分析。In this paper,we studied the location inventory routing problem(LIRP)of a two-level materials distribution system with multiple alternative points and multiple demand points.Taking the chain retail enterprise supermarket H as the example,and considering the impact of store dispersion and demand randomness,we constructed a bi-level programming model with stochastic demand aimed at minimum total cost.Then we effectively integrated the location allocation,inventory,and vehicle routing processes via the association and constraint between the upper-level planning(F)and lower-level planning(U).At the end,using MATLAB,we first solved the model by way of the immune genetic algorithm and ant colony algorithm,then optimized the initial solution generated in the first step to obtain the global optimal solution,and finally analyzed the effect of the optimization.

关 键 词：随机需求 连锁零售企业 选址-库存-路径问题 双层规划 免疫遗传算法 蚁群算法 

分 类 号：F721[经济管理—产业经济] F252