| 摘要: |
| 再制造逆向物流的主要特征是回收产品的数量、质量不确定，以及再制造出“新”产品的需求不确定。基于不确定规划相关理论，在分析再制造逆向物流网络结构的基础上，将各个回收/消费市场的回收产品的数量、质量以及“新”产品的需求量看作随机参数，提出了再制造逆向物流网络的随机期望值模型，并利用遗传算法与随机模拟相结合的混合智能算法设计了该模型的求解算法。最后,根据算例对模型进行了计算，验证了该方法的可行性。 |
| 关键词: 再制造逆向物流网络 随机期望值模型 混合智能算法 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金资助项目（50575043）；东南大学国家自然科学基金预研基金资助项目（9221001359） |
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| Research on Location Model of Remanufacturing Reverse Logistics Network under Uncertain Environment with EVM |
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MAO Hai-jun，JI Xing-zhao
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College of Transportation, Southeast University, Nanjing 210096
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| Abstract: |
| In the remanufacturing reverse logistics network, the quantity and quality of recycled products, and requirement of the “new” remanufactured products, are uncertain. According to theory of uncertain program, and base on the analysis of the construction of remanufacturing reverse logistics network, EVM (Expected value Programming) for the remanufacturing reverse logistics network was presented by treating the quantity and quality of recycled products and requirement of the “new” remanufactured products as stochastic parameters. And the solution scheme was pursued by the hybrid intelligence algorithm (genetic algorithm combined with stochastic simulation technique) as well. In the end, the effectiveness and adaptation were demonstrated by a case. |
| Key words: remanufacturing logistics network EVM hybrid intelligence algorithm |
