摘要
考虑模糊随机环境下,再利用逆向物流网络在数量方面的不确定性,并考虑了回收点与回收中心的回收周期不同步等复杂因素,提出了第三方构建再利用逆向物流网络的数学模型。该模型结合遗传算法、模糊随机模拟及数学规划的混合智能算法,并通过算例验证模型和算法的可行性,得到模糊随机环境下的最优选址结果和回收点最优回收周期。
The uncertainty of reusing reverse logistics on the aspects of quantity is considered from the angle of fuzzy-stochastic circumstances. The complicated factors about non-synchronous recycle period between recycle points and recycle centers are considered and mathematical models are proposed on how to design reusing reverse logistics networks constructed by the third party. By using hybrid intelligent algorithms combined with hereditary algorithm, fuzzy-stochastic simulation and mathematical programming, the feasibility of this model and algorithm is validated through case study, the optimal results of location selection and the optimal recycle period of recycle points are obtained through the model
出处
《铁道运输与经济》
北大核心
2008年第11期76-80,共5页
Railway Transport and Economy
关键词
逆向物流
网络
模糊随机规划
混合智能算法
reverse logistics
network
fuzzy-stochastic programming
hybrid intelligent algorithms
