连续时变风险下危险品储运选址-选线问题

Location and routing of dangerous goods'storage and transportation under continuous time-varying risks

为提高危险品储运安全性,针对一类连续时变风险下的危险品储运选址-选线问题,协同优化仓库选址、运输选线和运量分配决策。首先,考虑应急救援的持续影响,构建连续时变风险的非线性度量模型;然后,以总连续时变风险最小和总成本最小为优化目标,基于局部连通城市路网,建立0-1混合整数多目标非线性规划模型;最后,根据模型复杂性,设计基于逼近理想解排序法(TOPSIS)的遗传-Dijkstra阶段式求解算法,并通过算例验证模型及算法的有效性。结果表明:相较于现有管理方案,考虑连续时变风险的危险品仓库选址及运输路线选择方案,能减少48.79%的总储运风险,更有利于危险品的储运安全。

In order to improve safety of dangerous goods'storage and transportation,considering the location and routing problems under continuous time-varying risks,warehouse location,transportation routes and flow allocation were optimized simultaneously.Firstly,a nonlinear assessment model for continuous time-varying risks was formulated considering continuous influence of emergency rescues.Then,with minimization of total risks and cost as optimized goals,a multi-objective nonlinear 0-1 mixed integer programming model was developed based on locally connected urban network.Finally,TOPSIS-based Dijkstra phased solution algorithm was designed according to the model's complexity,and several examples were used to verify the effectiveness of the model and algorithm.The results show that compared with current management schemes,the proposed method,which considers continuous time-varying risks,can reduce 48.79%of risks,and therefore provides a better plan for dangerous goods'storage and transportation.