【摘要】：隨著全球經(jīng)濟(jì)的快速發(fā)展,先進(jìn)制造技術(shù)在生產(chǎn)制造行業(yè)中的開(kāi)發(fā)和使用,我國(guó)汽車(chē)后橋特別是農(nóng)用車(chē)后橋的生產(chǎn)裝配技術(shù)越來(lái)越完善。在日益激烈的國(guó)內(nèi)外競(jìng)爭(zhēng)環(huán)境面前,企業(yè)在生產(chǎn)過(guò)程中,不僅要保證產(chǎn)品質(zhì)量,滿足客戶的不同需求,而且還需要提升企業(yè)自身的加工生產(chǎn)的效率,改善生產(chǎn)工藝過(guò)程,盡量減少其生產(chǎn)加工的成本,這樣才能增強(qiáng)企業(yè)的競(jìng)爭(zhēng)力,在全球化和激烈化的市場(chǎng)中擁有自己的一席之地�？偠灾�,加工制造企業(yè)竭盡全力去優(yōu)化其生產(chǎn)系統(tǒng)是極其重要的。農(nóng)用車(chē)后橋的加工裝配系統(tǒng)屬于一個(gè)極其典型的離散事件系統(tǒng)。本文首先通過(guò)分析農(nóng)用車(chē)后橋的生產(chǎn)物流瓶頸漂移因素,分別以設(shè)備停止時(shí)間和不合格品返修時(shí)間為例,通過(guò)灰色理論和最大熵原理計(jì)算出其時(shí)間的分布函數(shù),利用概率論的相關(guān)知識(shí)給出瓶頸漂移概率的計(jì)算模型;其次,采用針對(duì)離散事件進(jìn)行動(dòng)態(tài)仿真的Witness軟件,通過(guò)對(duì)整個(gè)裝配過(guò)程中物流綜合性能的分析研究,簡(jiǎn)化生產(chǎn)制造的過(guò)程,建立有關(guān)Witness的農(nóng)用車(chē)后橋加工裝配過(guò)程的模型;再次,多次獨(dú)立運(yùn)行該模型,統(tǒng)計(jì)分析模型中的機(jī)器利用率、產(chǎn)出量和庫(kù)存量,計(jì)算出主要統(tǒng)計(jì)因子的點(diǎn)估計(jì)、樣本方差和置信區(qū)間等統(tǒng)計(jì)數(shù)據(jù);最后,通過(guò)對(duì)瓶頸漂移概率模型的計(jì)算,可預(yù)知在一個(gè)不確定的生產(chǎn)物流系統(tǒng)中瓶頸漂移概率的大小及漂移的方向。通過(guò)Witness仿真優(yōu)化原先建立的模型中的數(shù)量因素、時(shí)間因素以及數(shù)量和時(shí)間因素得出最優(yōu)的方案,解決了農(nóng)用車(chē)后橋裝配過(guò)程中的瓶頸問(wèn)題。
[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.
【學(xué)位授予單位】：沈陽(yáng)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：S229.1

【參考文獻(xiàn)】

相關(guān)期刊論文 前5條

1 喬秀秀;周振福;;5800kW無(wú)刷勵(lì)磁機(jī)轉(zhuǎn)子裝配工藝[J];電機(jī)技術(shù);2014年02期

2 李妍妍;王璐;陳素敏;;基于AutoMod的離散式生產(chǎn)系統(tǒng)參數(shù)化建模方法[J];計(jì)算機(jī)應(yīng)用;2010年S2期

3 虞s，

本文編號(hào)：2501377