满足服务时间条件下产品回收逆向物流网络模型

面对日益增长的回收产品,回收产品的复杂性和不确定性令分销商或制造商头痛不已。本文提出一个非线性混合整数规划模型,利用遗传算法对模型求解,确定回收点和回收中心的数目及回收点作业的天数,在满足服务时间的条件下降低逆向物流成本,优化产品回收物流网络。

Reverse Logistics Network Model of Product Returns Under Service Time

Facing the growing product returns,the distributors or the manufacturers really have a headache about the complexity and uncertainty of the product returns. This paper proposes a nonlinear mixed-integer programming model. To determine the number of collection points and collection center and days of collection points,a genetic algorithm is presented to solve it. Then we minimize the return cost and rationalize the network structure of product recovery under service time.