【作者】 黄银娣；

【导师】 张沂泉；

【作者基本信息】 南京林业大学 ， 机械理论与设计， 2012， 博士

【摘要】 本文以客车制造企业的物流系统为对象，综合研究了中小型客车制造厂物流系统的规划设计及生产物流系统的优化。根据系统优化目标，建立了相关的数学模型，选择优化算法求解；运用仿真技术，分析并改进了生产物流系统的实施方案；运用遗传算法进行客车混流装配线投产排序优化决策；运用变邻域算法进行仓储系统货位分配优化决策；应用RFID技术采集和跟踪客车生命周期中的各个环节相关数据，同时以客车生产过程为核心信息源，开发了车辆信息跟踪系统。论文结合某客车制造企业的生产物流系统及车辆信息跟踪系统的实际需求，提出的综合研究方法可供同类研究参考。论文在对某客车制造企业物流系统调查的基础上，依据该企业的生产方式、产销能力及生产物流系统的特征，分析了生产能力和交货期差距的原因和生产物流系统存在的问题，找出了优化某客车企业生产物流系统的规划设计关键点。论文应用Petri网离散系统建模技术对客车混流生产线物流系统建模，运用AutoMod仿真软件进行系统仿真，并分析系统的瓶颈，得出在一定目标下的最优方案，使得生产线物流系统得到平衡。在生产线平衡的基础上，运用遗传算法进行客车混流装配线投产排序优化决策。论文对客车生产厂内仓储系统进行了规划与设计，应用变邻域算法进行仓储系统货位分配优化决策，并运用AutoMod物流专业软件对自动化仓储系统运行进行仿真。结果表明，优化前后的仓库面积效益、人员效益、出入库时间，设备投入、布局合理性等都得到显著改善。论文应用RFID技术采集和跟踪客车生产的相关数据，构建了车辆信息跟踪系统。在RFID抗金属干扰试验研究的基础上，以生产管理信息为核心，进行了信息系统的设计与开发；并延续到客车生命周期中的各个环节，实现客车联网信息跟踪。最后以客车进入二手车市场信息需求为例，开发了客车联网信息跟踪二手车交易节点，为完整车辆信息跟踪系统的实现提供了技术支持。更多还原

【Abstract】 This paper studied a bus manufacturer logistics system and dedicated to the planning,design and optimization of the existing small and medium-sized bus manufacturer’s logisticssystem structure. According to the system optimization goals, the paper has establishedmathematical models of the related systems, selected the optimization algorithm to solveoptimization problem. Combined with empirical simulation, the paper has provided solutions toimprove the production logistics systems and analysis methods. Taking use of geneticalgorithms, this paper optimized mixed bus model assembly sequencing line. Taking use ofvariable neighborhood algorithm, this paper optimized the decision-making cargo distributionwarehouse systems. Taking use of RFID, this paper collected and tracked the data of bus lifecycle, at the same time, this paper took the bus production process as the core informationsource, and developed the tracking system of the vehicle information.On the basis of a bus manufacturing enterprise logistics system survey, and according tothe production mode, production organization, characteristics of production logistics systemsand marketing capacity of enterprise production, the reasons for the gap of production capacityand delivery were found, and also the problems of production and logistics systems were found.Ultimately the key points of the planning and design optimization of a bus production logisticssystem were identified.Time Colored Petri Nets modeling and analysis discrete systems technique were used tobuild the modeling of mixed production line logistics system. By using of the AutoModsimulation software, the system was simulated, and the system’s bottlenecks were analyzed.Then the final optimal solution under a certain goal can be obtained and it makes the productionline logistics system be balanced. On the basis of the balanced production line, taking use ofgenetic algorithms for bus mixed model assembly line sequencing in optimal decision-makingwas proposed.A bus production plant warehouse system were planned and designed. A new variableneighborhood algorithm was put forward to optimize cargo distribution warehouse systems, andthe AutoMod logistics professional software was used to simulate the automated warehousingsystem. The results show that the effectiveness of warehouse area, staff efficiency, time out ofstorage, input devices, all aspects of the rational layout has been significantly improved.This paper took RFID to collect and track bus life cycle information, and set up a vehicleinformation tracking system. On the basis of the RFID anti-metal interference test research, andtook the production management information as core, the vehicle information tracking systemshave been designed and developed. This system could extend information to all aspects of the bus life cycle so as to realize the bus networking information tracking. Lastly, to meet theinformation needs of the used car market, taking bus as an example, a bus interconnectioninformation tracking system of second-hand car trading nodes has been developed. So it hasprovided technical support for the development of complete vehicle information trackingsystem.更多还原