不确定性环境下的医药逆向物流网络设计

Design of Pharmaceutical Reverse Logistics Network under Uncertainty Environment

研究了不确定性环境下的医药逆向物流网络设计。针对如何确定集中式逆向物流中心的地址以及废弃医药物品的回收量问题,在多品种医药逆向物流网络模型的基础上,运用稳健优化将随机问题转换为非线性规划问题,最后用算例证明了转换后模型的有效性。

In this paper, we studied the design of pharmaceutical reverse logistics network under the uncertainty environment. Focusing on how to determine the location of the centralized reverse logistics center and the recycling of abandoned pharmaceuticals, we converted the stochastic problems into the nonlinear programming problem by using robust optimization on the basis of many pharmaceutical reverse logistics network models and verified its validity by an example.