危险品物流中的多目标定位-路径问题  

Multi-Objective Location-Routing Problem for Hazardous Materials Logistics

作　　者：李双琳[1,2] 马祖军[2] 邹坤[3] 

机构地区：[1]西南交通大学交通运输与物流学院,四川成都610031 [2]西南交通大学经济管理学院物流与应急管理研究所,四川成都610031 [3]成都信息工程学院银杏酒店管理学院,四川成都611743

出　　处：《运筹与管理》2014年第3期8-15,共8页Operations Research and Management Science

基　　金：国家自然科学基金项目(70771094;71090402);教育部新世纪优秀人才支持计划资助项目(NCET-10-0706);四川省学术和技术带头人培养资金项目(川人社办发[2011]441号);中央高校基本科研业务费专项资金资助项目(SWJTU11CX152)

摘　　要：随着经济的增长,危险化学品需求呈日益增长的趋势,其安全储运问题已成为政府和企业关注的焦点。本文通过建立危险品物流中多配送中心、多目标定位—路径问题优化模型,并设计混合遗传算法对模型进行求解,最后通过算例验证该模型和算法的可行性和有效性。结果表明:与只考虑系统总成本的结果相比,考虑运输风险的结果能够以较小的风险和成本、较少的人力资源配备实现危险品的储运;所设计混合遗传算法具有良好的性能。With the growth of economy,the demand of hazardous chemicals increases gradually. Both the government and enterprises focus on hazardous materials storage and transportation. In this paper,a multi-depot and multi-objective location-routing（ LRP） model for hazardous materials logistics is developed. And a hybrid genetic algorithm（ HGA） is designed to solve the model. Finally,the feasibility and validity of the model and algorithm are illustrated by a numerical example,and compared with two-stage heuristic algorithm. The result shows that the solution gained by additionally considering transportation risk has the advantage over the solution achieved by only considering total system cost,in logistics risk,cost and human resources. And the proposed algorithm has good performance.

关 键 词：危险品 定位—路径问题 遗传算法 运输风险 

分 类 号：F252[经济管理—国民经济] F224