【摘要】：仿真優(yōu)化技術(shù)是實(shí)現(xiàn)傳統(tǒng)制造向可預(yù)測(cè)制造、科學(xué)制造轉(zhuǎn)變的關(guān)鍵技術(shù)，并且已經(jīng)越來(lái)越廣泛的應(yīng)用到現(xiàn)代制造業(yè)中。尤其在一些復(fù)雜自動(dòng)化車(chē)間的應(yīng)用上，這個(gè)優(yōu)勢(shì)更為明顯，它不僅很大程度上節(jié)約了生產(chǎn)資源，優(yōu)化了生產(chǎn)系統(tǒng)布局，而且提高了生產(chǎn)率，增強(qiáng)了企業(yè)競(jìng)爭(zhēng)力。因此，本文對(duì)車(chē)間物流系統(tǒng)的建模和仿真做了探討和分析，并以攪拌機(jī)車(chē)間為例進(jìn)行研究。 本文主要以法國(guó)達(dá)索公司的Quest仿真軟件作為平臺(tái)來(lái)研究物流系統(tǒng)的建模和仿真優(yōu)化。模型是進(jìn)行仿真優(yōu)化的基礎(chǔ)，本文首先對(duì)攪拌機(jī)虛擬車(chē)間的不同對(duì)象進(jìn)行建模，，包括物理建模和邏輯建模。并且為了提高模型的逼真度和模型在Quest中運(yùn)行的流暢度，對(duì)模型進(jìn)行了必要的簡(jiǎn)化和處理。接著針對(duì)攪拌機(jī)車(chē)間的三維物流模型，在初始條件下進(jìn)行仿真，以仿真數(shù)據(jù)為依據(jù)分析生產(chǎn)線中存在的瓶頸問(wèn)題和不平衡等問(wèn)題，結(jié)合實(shí)際數(shù)據(jù)提出新的優(yōu)化方案，進(jìn)行進(jìn)一步的仿真優(yōu)化。用Quest測(cè)試各種參數(shù)，如設(shè)施布局，資源配置和其他可替代的方案，確保在整個(gè)產(chǎn)品設(shè)計(jì)的過(guò)程中有一個(gè)良好的生產(chǎn)工藝流程，使其在實(shí)際的設(shè)計(jì)投資前，就能提供正確的導(dǎo)向。最終經(jīng)過(guò)優(yōu)化仿真得出了比較理想的方案。
[Abstract]:Simulation optimization technology is the key technology to realize the transition from traditional manufacturing to predictable manufacturing and scientific manufacturing, and has been more and more widely used in modern manufacturing. Especially in some complex automation workshop application, this advantage is more obvious, it not only saves the production resources to a great extent, optimizes the production system layout, but also enhances the productivity, enhances the enterprise competitive power. Therefore, the modeling and simulation of workshop logistics system are discussed and analyzed in this paper, and the mixer workshop is taken as an example. In this paper, the modeling and simulation optimization of logistics system is studied on the platform of Quest software of French company Dassault. The model is the foundation of simulation optimization. Firstly, different objects in the mixer virtual workshop are modeled, including physical modeling and logical modeling. In order to improve the fidelity of the model and the fluency of the model in Quest, the model is simplified and processed. Then, aiming at the three-dimensional logistics model of the mixer workshop, the simulation is carried out under the initial conditions. Based on the simulation data, the bottleneck and imbalance problems in the production line are analyzed, and a new optimization scheme is proposed based on the actual data. Further simulation optimization is carried out. Quest is used to test various parameters, such as facility layout, resource allocation and other alternative schemes, to ensure that there is a good production process in the whole product design process, so that it can provide the correct direction before the actual design investment. Finally, through the optimization simulation, a more ideal scheme is obtained.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類(lèi)號(hào)】：TH165.1

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