Abstract: 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.

Key words: hazardous materials, location-routing problem, genetic algorithm, transportation risk

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。

关键词: 危险品, 定位—路径问题, 遗传算法, 运输风险