【作者】 杨明；

【导师】 王旭；

【作者基本信息】 重庆大学 ， 工业工程， 2008， 硕士

【摘要】 面对我国日益短缺的自然资源和日渐破坏的生态环境,报废汽车的绿色回收与零部件再制造符合循环经济发展的要求。长期以来,有关再制造的研究主要集中在工程技术方面,如纳米表面工程技术、高速电弧喷涂技术、纳米固体润滑技术等,而逆向物流作为再制造研究的关键问题之一,研究相对较少。基于此,本文主要研究面向报废汽车的再制造逆向物流网络优化问题。首先,从逆向物流系统的回收目标、回收对象、功能要素、运作主体等方面较为全面地分析了报废汽车绿色回收系统的组成要素;以循环经济理论为指导,建立了基于产品全生命周期的绿色回收系统结构模型;并指出了报废汽车绿色回收系统研究需要解决的几个关键技术,如回收网络、回收模式和绩效评价等。其次,对比分析了解析法、启发式法、最优规划法等几种物流网络建模方法的优缺点,结合再制造逆向物流网络的特点,选用混合整数线性规划法,对汽车再制造逆向物流网络进行建模优化:既建立了一种确定环境下的汽车再制造逆向物流网络优化模型,又建立了一种不确定环境下汽车再制造逆向物流稳健网络优化模型。最后,以汽车发动机为例,对所建再制造逆向物流网络稳健优化模型进行了实际案例应用研究。根据网络模型的特点,采用Lingo 8.0软件对不确定环境下再制造逆向物流网络稳健优化模型进行求解,并对计算结果进行分析,验证模型的有效性。更多还原

【Abstract】 Facing increasingly shortage of natural resource and destruction of ecological environment, green take-back and parts remanufacturing of end-of-vehicles (ELV) meet the requirement of circular economy development. For a long time, the study related to remanufacturing concentrates on the aspects of engineering technology, such as nano-surface engineering technology, high velocity arc spraying technology, nano-solid lubrication technology etc. Though logistics is one of the most important problems of remanufacturing, it is hardly carried out. Based on this background, this thesis mainly studies on optimization problems of reverse logistics network for remanufacturing facing ELV.Firstly, this dissertation provides a more complete analysis on component elements of green take-back system from take-back goals, take-back targets, function elements, main parts of operation etc. On this basis, directed by the theory of circular economics, green take-back system structure model based on ELV entire life cycle is established. Besides, several key problems about how to operate green take-back system of ELV are pointed out, such as take-back network, take-back model, performance evaluation, etc.Secondly, the dissertation comparative analyzes the analytical method, elicitation method and optimal planning method, through which the advantages and disadvantages of the logistics networking modeling are gotten. Then combined with the characters of the remanufacturing reverse logistics network, a classic method of the optimal planning method called mixed integer linear programming (MILP) is used to optimize the model of ELV remanufacturing reverse logistics network, including a optimal model of ELV remanufacturing reverse logistics network under the certain circumstance and a optimal model of ELV remanufacturing reverse logistics robust network under the uncertain circumstance.Finally, taking ELV engine as example, an application research about the optimized remanufacturing reverse logistics network model is carried out. According to the characters of the network model, Lingo 8.0, a MILP software, is used to solve the remanufacturing reverse logistics robust network model. From the results, the effectiveness of the remanufacturing reverse logistics network model and the correctness of the method selected are proved.更多还原