随机环境下多种类废旧电子产品再制造物流网络选址

Remanufacturing logistics network optimization model of multi-category waste electronic products under stochastic environment

针对当前电子产品的多样性及回收环境的不确定性,构建了一个含有随机变量约束的单目标整数线性规划模型,并将其转化为确定性等价类约束,用Lingo12.0求解出逆向物流网络布局及物流量安排,使总成本最小;分析了置信水平和各种类电子产品回收数量变化时对模型结果的影响.结果表明:该模型在含有随机变量约束的情况下具有稳定性、可行性,同时满足成本最小的要求.算例分析表明该模型能够应用于物流网络的优化设计.

The uncertainty of the returnable quantities and the muhi-category are the main characteristics of remanufacturing reverse network. A single objective integer linear programming model is constructed which contains a random variable, the random variable is transformed into a deterministic constraint, and Lingo 12.0 is used to solve the reverse logistics network layout and logistics flow, minimizing the total cost. Then, we analyze the effect of different confidence-levels and the quantity of different kinds of electronic products on the model. Results show that the model in the case of containing random variable constraint is still feasible and stable, and the model can meet the requirements of minimum cost. The example analysis shows that the model can be applied to optimization design of logistics network.