摘要
文章针对冷链仓储中心布局问题,提出了一种基于系统布置设计法(SLP方法)和遗传算法(GA)相结合的方法对冷链仓储布局进行优化,以仓储中心各功能区总物流强度和物流搬运成本总和最小为优化目标的多目标函数模型,运用权重处理法将多目标函数模型转换成单目标函数模型,并运用遗传算法对模型进行定量分析求解,得出最优染色体。以浙江义乌某冷链仓储中心布局搭建仿真环境,进行仿真实验,得出优化结果,并将SLP-GA优化后的结果与原模型进行对比,利用层次分析法和模糊综合评价法对方案进行评价,结果表明,园区物流效率与物流成本有了明显改善。
For cold chain storage center layout problem,this paper puts forward a method based on the system arrangement design(SLP)and the combination of genetic algorithm(GA)method was carried out on the cold chain storage layout optimization,the total strength of logistics and logistics center on warehouse each function handling cost summation of multi-objective function model and objective function is minimum,the multi-objective function model by applying the method of weighting processing into a single objective function model and uses genetic algorithm to quantitative analysis of the model,it is concluded that the optimal chromosome.The simulation environment was set up for a cold chain warehouse center in Yiwu,Zhejiang province,and the simulation experiment was carried out to obtain the optimization results.The optimized results of SLP-GA were compared with the original model,and the scheme was evaluated by AHP and fuzzy comprehensive evaluation.The results showed that the logistics efficiency and cost of the park had been significantly improved.
作者
马丽
茅健
MA Li;MAO Jian(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《物流科技》
2021年第3期141-145,共5页
Logistics Sci-Tech
关键词
冷链仓储中心
布局优化
优化SLP方法
遗传算法
cold chain storage center
layout optimization
optimize SLP method
genetic algorithm
