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机构地区:[1]中铁二院工程集团有限公司交通规划研究院,四川成都610031
出 处:《铁道运输与经济》2008年第11期76-80,共5页Railway Transport and Economy
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
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