基于Witness的农用车后桥装配过程建模与仿真研究
发布时间：2019-06-18 09:46
【摘要】：随着全球经济的快速发展,先进制造技术在生产制造行业中的开发和使用,我国汽车后桥特别是农用车后桥的生产装配技术越来越完善。在日益激烈的国内外竞争环境面前,企业在生产过程中,不仅要保证产品质量,满足客户的不同需求,而且还需要提升企业自身的加工生产的效率,改善生产工艺过程,尽量减少其生产加工的成本,这样才能增强企业的竞争力,在全球化和激烈化的市场中拥有自己的一席之地。总而言之,加工制造企业竭尽全力去优化其生产系统是极其重要的。农用车后桥的加工装配系统属于一个极其典型的离散事件系统。本文首先通过分析农用车后桥的生产物流瓶颈漂移因素,分别以设备停止时间和不合格品返修时间为例,通过灰色理论和最大熵原理计算出其时间的分布函数,利用概率论的相关知识给出瓶颈漂移概率的计算模型;其次,采用针对离散事件进行动态仿真的Witness软件,通过对整个装配过程中物流综合性能的分析研究,简化生产制造的过程,建立有关Witness的农用车后桥加工装配过程的模型;再次,多次独立运行该模型,统计分析模型中的机器利用率、产出量和库存量,计算出主要统计因子的点估计、样本方差和置信区间等统计数据;最后,通过对瓶颈漂移概率模型的计算,可预知在一个不确定的生产物流系统中瓶颈漂移概率的大小及漂移的方向。通过Witness仿真优化原先建立的模型中的数量因素、时间因素以及数量和时间因素得出最优的方案,解决了农用车后桥装配过程中的瓶颈问题。
[Abstract]:With the rapid development of global economy and the development and use of advanced manufacturing technology in the production and manufacturing industry, the production and assembly technology of automobile rear axle, especially agricultural vehicle rear axle, is becoming more and more perfect in our country. In the face of increasingly fierce domestic and foreign competitive environment, enterprises should not only ensure product quality and meet the different needs of customers, but also improve the efficiency of their own processing and production, improve the production process and minimize the cost of production and processing, so as to enhance the competitiveness of enterprises and have their own place in the globalized and intensified market. In a word, it is extremely important for processing and manufacturing enterprises to do their best to optimize their production system. The machining and assembly system of the rear axle of agricultural vehicle belongs to an extremely typical discrete event system. In this paper, by analyzing the bottleneck drift factors of the rear axle of agricultural vehicle, taking the equipment stop time and the repair time of nonconforming products as examples, the distribution function of the time is calculated by grey theory and maximum entropy principle, and the calculation model of bottleneck drift probability is given by using the relevant knowledge of probability theory. Secondly, using Witness software for dynamic simulation of discrete events, through the analysis and research of the comprehensive performance of logistics in the whole assembly process, the production and manufacturing process is simplified, and the model of the rear axle machining and assembly process of Witness agricultural vehicle is established. Thirdly, the model is run independently many times, and the machine utilization, output and inventory in the model are statistically analyzed, and the statistical data such as point estimation of main statistical factors, sample variance and confidence interval are calculated. Finally, through the calculation of bottleneck drift probability model, the size and direction of bottleneck drift probability in an uncertain production logistics system can be predicted. The optimal scheme is obtained by optimizing the quantity factor, time factor, quantity and time factor in the original model by Witness simulation, and the bottleneck problem in the assembly process of the rear axle of agricultural vehicle is solved.
【学位授予单位】：沈阳大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S229.1
[Abstract]:With the rapid development of global economy and the development and use of advanced manufacturing technology in the production and manufacturing industry, the production and assembly technology of automobile rear axle, especially agricultural vehicle rear axle, is becoming more and more perfect in our country. In the face of increasingly fierce domestic and foreign competitive environment, enterprises should not only ensure product quality and meet the different needs of customers, but also improve the efficiency of their own processing and production, improve the production process and minimize the cost of production and processing, so as to enhance the competitiveness of enterprises and have their own place in the globalized and intensified market. In a word, it is extremely important for processing and manufacturing enterprises to do their best to optimize their production system. The machining and assembly system of the rear axle of agricultural vehicle belongs to an extremely typical discrete event system. In this paper, by analyzing the bottleneck drift factors of the rear axle of agricultural vehicle, taking the equipment stop time and the repair time of nonconforming products as examples, the distribution function of the time is calculated by grey theory and maximum entropy principle, and the calculation model of bottleneck drift probability is given by using the relevant knowledge of probability theory. Secondly, using Witness software for dynamic simulation of discrete events, through the analysis and research of the comprehensive performance of logistics in the whole assembly process, the production and manufacturing process is simplified, and the model of the rear axle machining and assembly process of Witness agricultural vehicle is established. Thirdly, the model is run independently many times, and the machine utilization, output and inventory in the model are statistically analyzed, and the statistical data such as point estimation of main statistical factors, sample variance and confidence interval are calculated. Finally, through the calculation of bottleneck drift probability model, the size and direction of bottleneck drift probability in an uncertain production logistics system can be predicted. The optimal scheme is obtained by optimizing the quantity factor, time factor, quantity and time factor in the original model by Witness simulation, and the bottleneck problem in the assembly process of the rear axle of agricultural vehicle is solved.
【学位授予单位】：沈阳大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S229.1
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相关期刊论文 前5条
1 乔秀秀;周振福;;5800kW无刷励磁机转子装配工艺[J];电机技术;2014年02期
2 李妍妍;王璐;陈素敏;;基于AutoMod的离散式生产系统参数化建模方法[J];计算机应用;2010年S2期
3 虞s，
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