摘要
针对当前陆军装备维修器材供应链后方仓库供应网络布局不合理、保障效益低等问题,建立后方仓库选址非线性规划模型,设计免疫算法仿真求解。以NB战区为例,验证了模型和算法的有效性,得到后方仓库最佳位置和供应网络,为全面、科学做出后方仓库选址决策供定量分析数据支撑和可视化图形参考,并与粒子群算法和遗传算法进行对比分析。
Aiming at the problems of unreasonable distribution of supply network of rear warehouse in army equipment maintenance equipment supply chain and low guarantee benefit,a nonlinear programming model of rear warehouse site selection was established and immune algorithm was designed to solve the problem.Taking the NB theater as an example,the effectiveness of the model and algorithm is verified,and the optimal location and supply network of the rear warehouse are obtained,which can be used to make comprehensive and scientific decision on the location of the rear warehouse for quantitative analysis data support and visual graphics reference,and compared with particle swarm optimization algorithm and genetic algorithm.
作者
王兵
刘国华
刘磊
Wang Bing;Liu guo-hua;Liu Lei(Equipment Support and Remanufacturing Department,Army Academy of Armored Forces,Beijing 100072)
出处
《中国物流与采购》
2020年第6期73-77,共5页
China Logistics & Purchasing
基金
军队科研计划项目。
关键词
装备维修器材
供应链
免疫算法
后方仓库选址
equipment maintenance material
supply chain
immune algorithm
location of rear warehouse
