客车生产物流系统及车辆信息跟踪系统的研究

发布时间：2018-08-20 20:30

【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。
[Abstract]:Taking the logistics system of bus manufacturing enterprise as an object, the planning and design of logistics system and the optimization of production logistics system of medium and small bus manufacturing plant are studied in this paper. According to the system optimization goal, the related mathematical model is established, the optimization algorithm is chosen, and the implementation scheme of the production logistics system is analyzed and improved by using the simulation technology. Genetic algorithm (GA) is used to optimize the sequencing of bus mixed flow assembly line; variable neighborhood algorithm is used to optimize the distribution of goods in storage system; RFID technology is used to collect and track the relevant data of each link in the bus life cycle. At the same time, the vehicle information tracking system is developed with the bus production process as the core information source. According to the actual demand of production logistics system and vehicle information tracking system in a bus manufacturing enterprise, the comprehensive research method proposed in this paper can be used as a reference for similar research. Based on the investigation of the logistics system of a bus manufacturing enterprise, according to the production mode, production and marketing capacity and the characteristics of the production logistics system, the paper analyzes the reasons for the gap between production capacity and delivery time and the problems existing in the production logistics system. The key points of planning and design for optimizing the production logistics system of a bus enterprise are found out. In this paper, the Petri net discrete system modeling technology is used to model the logistics system of the mixed train production line of passenger cars, and the system simulation is carried out by using the AutoMod simulation software, and the bottleneck of the system is analyzed, and the optimal scheme under a certain target is obtained. Balance the production line logistics system. On the basis of the balance of production line, genetic algorithm is used to optimize the sequencing of mixed train assembly line. This paper plans and designs the storage system in the bus factory, applies the variable neighborhood algorithm to optimize the allocation of the storage system, and simulates the operation of the automated storage system by using the AutoMod logistics professional software. The results show that the efficiency of warehouse area, the benefit of personnel, the time of entering and leaving the warehouse, the input of equipment, the rationality of layout and so on have been improved significantly before and after the optimization. In this paper, RFID technology is used to collect and track the relevant data of bus production, and a vehicle information tracking system is constructed. Based on the research of RFID anti-metal interference test, the information system is designed and developed based on the production management information, and it is extended to every link in the bus life cycle to realize the bus network information tracking. Finally, taking the information requirement of second-hand car market as an example, a bus network information tracking second-hand vehicle trading node is developed, which provides technical support for the implementation of the complete vehicle information tracking system.
【学位授予单位】：南京林业大学
【学位级别】：博士
【学位授予年份】：2012
【分类号】：U492.413

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