Font Size: a A A

The Research Of Agricultural Vehicle Rear Bridge Assembly Process Modeling And Simulation Based On Witness

Posted on:2016-09-24Degree:MasterType:Thesis
Country:ChinaCandidate:L Y LiuFull Text:PDF
GTID:2283330464456978Subject:Industrial engineering
Abstract/Summary:PDF Full Text Request
As the development of advanced manufacturing technology in the production andmanufacturing, the production of Automobile rear bridge assembly technology is moreand more sophisticated with the rapid development of the global economy. In front ofthe increasingly fierce competitive environment at home and abroad, the enterprise inthe process of production, not only should ensure the product quality, meet the differentneeds of customers, but also improve the production efficiency of enterprises, improvethe production process,reduce production cost, so as to enhance the corecompetitiveness of the enterprise. Therefore, how to optimize the production system isvery important for manufacturing companies.Agricultural vehicle rear bridge production system is a typical discrete eventdynamic system. Firstly, through the analysis of factors of production logisticsbottleneck drift, this article respectively takes nonconforming equipment downtime andrepair time for example, by gray theory and maximum entropy principle to obtain thedistribution function of its time, uses the knowledge of probability theory to give thebottleneck drift probability calculation model; Secondly, this paper also uses Witnessabout dynamic simulation of discrete event. Through the analysis of logisticscomprehensive performance throughout the assembly process, this paper simplifies themanufacturing process, builds a simulation model of the agricultural vehicles axleassembly process based on Witness; Thirdly, the model is run independently for manytimes. Count and analyze equipment utilization, output and inventories of themodel.calculate the statistical data of the main statistical factor that the point estimation,sample variance and confidence intervals of and so on; Finally, through calculation ofthe model, the size of floating bottleneck probability and drift direction can be predictedin an uncertain production logistics system. And the final optimum proposal can beconcluded through the optimization of quantity and time factors in the model and thebottleneck problems in the process of agricultural vehicle Rear bridge assembly aresolved.
Keywords/Search Tags:agricultural vehicle rear bridge assembly, bottleneck drift, witness, simulation and optimization
PDF Full Text Request
Related items