基于改进粒子群算法的绿色物流供应链结构优化研究  

Research on Structure Optimization of Green Logistics Supply Chain Based on Improved Particle Swarm Algorithm

作　　者：张文霞 ZHANG Wenxia(Hefei University of Economics,Hefei 230000,China)

机构地区：[1]合肥经济学院,安徽合肥230000

出　　处：《佳木斯大学学报(自然科学版)》2024年第12期64-67,78,共5页Journal of Jiamusi University:Natural Science Edition

基　　金：安徽省教育厅重点项目(2023AH052432);合肥经济学院校级科研重点项目(2023HYJ006)。

摘　　要：针对绿色物流供应量当中库存周转时间较慢、设施选址不够清晰、运输时间控制出入较大的问题,提出一种以改进粒子群算法为基础的绿色物流供应量结构优化的方式。系统设计时重点考虑时间因素的影响,从绿色物流供应链全局出发进行研究。由此设计两层粒子群算法,在避免算法结果局部最优的同时,能够更为精准地进行路径选择和配送优化,以达到配送时间更加准确,库存周转更加灵活的目的。经过算例验证,该办法时间把控相对准确,能够有效提高顾客服务水平。Aiming at the problems of slow inventory turnaround time,unclear facility site selection,and large fluctuation in transportation time control in green logistics supply,a method of optimization of green logistics supply structure based on improved particle swarm algorithm is proposed.The system design focuses on the influence of time factors,and the research is carried out from the overall perspective of the green logistics supply chain.Therefore,the two-layer particle swarm algorithm is designed,which can avoid the local optimization of the algorithm results,and can carry out route selection and distribution optimization more accurately,so as to achieve the purpose of more accurate delivery time and more flexible inventory turnover.After the calculation of examples,the time control of this method is relatively accurate,which can improves effectively the level of customer service.

关 键 词：绿色物流供应量 粒子群算法 局部最优 分销网路 

分 类 号：F253.4[经济管理—国民经济]