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针对考虑再制造的产品族配置优化问题,建立以产品族配置设计为主,再制造企业选择决策为从的混合整数非线性双层规划模型。该模型的上层以产品族的单位成本效用为优化目标,决策产品族的配置设计;下层是以产品族的再制造成本为目标,优化再制造企业的选择。针对该双层规划模型的特点,设计了一个嵌套遗传算法及相应的编码策略进行求解,并以一个简化的手机产品族为例来验证模型的合理性和有效性,结果表明所提双层模型能够有效解决考虑再制的产品族模块配置优化问题,并能得到较优的产品族配置方案。
Aiming at the optimization of product family configuration considering remanufacturing, a mixed integer nonlinear bilevel programming model based on product family configuration design and remanufacturing enterprise selection decision is established. The upper level of the model is to optimize the unit cost and utility of the product family and to design the configuration of the product family. The lower level is to optimize the remanufacturing enterprise with the goal of remanufacturing cost of the product family. Aiming at the characteristics of the bi-level programming model, a nested genetic algorithm and corresponding coding strategy are designed to solve the problem. A simplified cell phone family is taken as an example to verify the rationality and validity of the model. The results show that the proposed bi- The model can effectively solve the problem of reconfiguration of the product family module considering re-production and can obtain a better product family configuration solution.