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中文摘要：
分析了产品回收流程,指出在回收检验中心对产品进行质量检测并分类处理,有助于降低逆向物流总运营成本.针对到这一特点,结合流量平衡与生产能力等特有约束,建立了新的3阶段逆向物流网络混合整数规划模型,以确定回收检验中心、修复中心与垃圾处理中心的位置、数量与规模,以及对各网络路径上的物流流量进行分配.考虑到其NP-hard特性,开发了遗传算法,以获得大规模问题的近似解.大规模实验表明,所构建的混合整数规划模型与遗传算法是有效的,且遗传算法的求解效率与求解质量也优于LINGO软件.
英文摘要：
Through the analysis of handling procedure for returned product, it is suggested returned products shouht be disposed differently after quality inspection, so as to minimize the total costs. Considering the flow balance capacity limit and capacity limit constraints, a new mixed integer programming model for three-stage reverse logisties network is proposed, in order to obtain the quantity of various infrastructures. the scales and locations. Because it is NP-hard. a genetic algorithm is proposed, Random ex- periments show that the algorithm and model are effective. Meanwhile. when the experiments are larger, the genetic algorithm out- performs LINGO software on solving efficiency.
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