Study On Collaborative Methods And Simulation Optimization Of Production Logistics For Automobile Manufacturing

Collaborative commerce organizes the partnerships which have common commercial interest, and achieve and satisfy the consumer demands and survival ability of themselves by sharing the informations of whole commercial cycle. The collaborative commerce commonly creates and achieves maximal commercial value, and provides profitability by integrating competitive advantages of every partnership. The collaborative commerce, which is highest form of electronic commerce, changes the operational forcuses from the operation of the reasonable arrangements for internal resources into reasonable arrangement virtual enterprise resources. Faced with a number of enterprises of all suppliers, partners, customers, distributors, it optimizes a complete and mutual coordination of production and distribution plans. The essence of collaborative commerce is breaking the original inter-organizational barriers and greatly reducing enterprise group achieve synergies and create synergy cost of the organization due to the nature of technological progress. These technologies include data mining technology, information sharing technology, the design optimization process, and so on.Based on the analysis of domestic and international research status, the framework of collaborative business model and the physical structure are put forward. In the framework of collaborative commerce system, Information sharing the framework model and the system features of information sharing is put forward, and the informations integration is studied. Collaborative business information-sharing system makes collaborative commerce get more and more valuable data, and provide strong support for data mining. In this paper, a quarter of automotive products sales as data mining objects, in the establishment of procurement operations on the basis of data mart, data mining Construction of the corresponding model, using ID3 Decision Tree Algorithm and Data Mining. Data mining for collaborative business process optimization to provide a scientific basis for decision-making. In the analysis of traditional business processes on the basis of insufficient to study how to use collaborative business theory and thought of the old business processes, and FAW-Volkswagen business processes for the research object, the establishment of production of the business processes Petri net model, focusing on the outside HS procurement distribution of business processes, diagnosis of their mathematical properties, the use of ExSpect software simulation of the original process and the pros and cons of optimized processes.First, the paper established a framework for collaborative commerce system model, which the common platform for interactive data sharing and the core hub, through data adapter module, the original Adapter Business Management System to interactive data sharing common platform to achieve Collaborative business enterprises to manage a smooth transition. The system has the database server, application server, WEB server, disk array and tape drives, so it can ensure a long-term stable operation. The system provides the core enterprise and upstream and downstream firms with two access modes, which are line access and Internet access, so it is easy to use. In the analysis of information-sharing needs, and information sharing models and collaborative commerce information flow on the basis of the model, a model framework for the sharing of information, analysis in the model on the basis of information sharing and management mechanism Conditions. The need for integrated information, and information into structured and unstructured information, structured information from the main database, spreadsheet, etc., and unstructured information from the documents and information statements, mail, and so on, through information integration platform , in accordance with a unified format and coding, the effective integration of information and proposed information integration software framework and integrated processes.Second, the synergistic business data mart and data mining are studied. Data mart, which uses spiral development methodology, is seperated into three stages, that is, the planning stage, design and implementation stage and maintenance stage. In the planning stage, the focus on the needs analysis, logic design and meta-data model design. In the design of the implementation phase, the collaborative commerce design data mart structure, level, describes its function, the analysis of its data loading, extraction, structure its data storage levels, and created a synergistic business data mart. In the use of maintenance phase, with a quarter of automotive products sales as data mining objects, in the establishment of procurement operations on the basis of data mart, data mining Construction of the corresponding model, using ID3 Decision Tree Algorithm and Data Mining. The conclusion is that vehicle configuration is the most important, followed by the colors, and minimal impact of cars in the factors in the sales volume of motor vehicles. The conclusion is that car manufacturers develop production plans, procurement plans to provide a scientific basis.Third, because storage area is closely linked to the main assembly line and spare parts suppliers, the collaboration of transfer from suppliers to producers of goods and pickup from buffer zone to production line is researched. For the actual operating data of an automobile manufacturing enterprises, by M/M/C/∞queuing theory, an effective queuing system model, which can calculate the number of forklifts to 5, will enable that utilization rate of resource of manufacturers forklifts, discharge positions, and so on, is relative higher, and the vehicles of providers need not wait for a long time, which can achieve resources collaboration between cargo of suppliers arrivaling and manufacturers resources. In this paper, with the TSP model of Operational Research and a genetic algorithm of eM-Plant software, the shortest pathes between the main production line and the buffer zone are obtained, which have achieved the collaboration of transfer from buffer zone to production line.Finally, the analysis of the traditional paper business processes on the basis of insufficient to study how to use collaborative business theory and thought of the old business processes, and FAW-Volkswagen business processes for the research object, the establishment of key business processes of production Petri net model. Focusing on the distribution of original HS procurement business processes, its mathematical characteristics are diognosed, and use ExSpect software simulation analysis of the original process and the pros and cons of optimized processes. The results showed that application of information technology to optimize existing processes, effectively reduces the running process, the error probability, improve work efficiency.