中文摘要：

针对废旧产品到达时间和数量、废旧产品回收与再制造产品需求平衡、废旧产品可利用率等不确定性特点,综合考虑多产品、多周期、容量限制等影响因素,将废旧产品回收数量、再制造产品需求数量、废旧产品利用率作为随机参数,以物流网络构建的总成本最小化为目标函数,建立了不确定条件下的随机机会约束规划模型,用以确定物流网络结点设施的位置、数量和物流量.设计了融合随机模拟和线性规划的混合遗传算法对模型进行直接求解,有效提高了算法的局部寻优能力.算例分析表明,基于不确定条件的随机机会约束规划模型比确定条件下模型考虑了更多的实际因素,因此能够更好地满足再制造企业物流战略决策的需要.

英文摘要：

Remanufacturing logistics has obvious uncertainty,such as uncertainty of timing and quantity of returned products,balancing between returns of used products with demand for remanufactured products and materials recovered from returned items.The return of used products,demand for remanufactured products and recovery of used products are taken as random parameters,and a stochastic programming model is proposed to minimize the costs of logistics network considering multi-product,multi-cycle,capacity constraints and other factors.The numbers and locations of various logistics facilities and the volume of corresponding products are determined through the established model.A hybrid genetic algorithm integrating stochastic stimulation and linear programming is submitted to efficiently solve the model,which improves the capacity of local optimization.Computation results show that the model can better meet the requirements of remanufacturing companies in strategic decision-making because it takes into account more actual factors compared with the deterministic models.