【摘要】：對(duì)于國(guó)內(nèi)的整車(chē)制造企業(yè)而言,同一企業(yè)的制造分廠遍布于全國(guó)各地的現(xiàn)象已經(jīng)普遍出現(xiàn),制造資源的分散給企業(yè)的管理水平帶來(lái)了極大的考驗(yàn)。本文從集約企業(yè)資源,提升運(yùn)營(yíng)效率,節(jié)約生產(chǎn)成本出發(fā),歸納出現(xiàn)有的“企業(yè)集團(tuán)—制造分廠—生產(chǎn)線”三層管理模式的弊端,提出用協(xié)同制造的思想整合企業(yè)集團(tuán)的4大業(yè)務(wù)平臺(tái),使生產(chǎn)線直接參與到企業(yè)集團(tuán)生產(chǎn)大綱的分解過(guò)程中去,解決了生產(chǎn)線產(chǎn)能利用率不平衡,資源不能統(tǒng)一調(diào)度的問(wèn)題。此外本文還利用禁忌—遞階遺傳算法對(duì)一類典型的此問(wèn)題進(jìn)行了求解,求解的結(jié)果證明在不同的市場(chǎng)需求下,生產(chǎn)線的負(fù)荷均衡度和生產(chǎn)成本均有較為顯著的改善;禁忌—遞階遺傳算法也是一種十分有效的求解算法。 混流生產(chǎn)線由于涉及到的車(chē)型眾多,每種車(chē)型所需要的零部件種類和數(shù)量都非常龐大,所以其生產(chǎn)計(jì)劃的制定相對(duì)而言更為復(fù)雜,因此保持一個(gè)穩(wěn)定、平順的生產(chǎn)計(jì)劃可以有效的規(guī)避生產(chǎn)的波動(dòng)。本文從保持生產(chǎn)線生產(chǎn)計(jì)劃的穩(wěn)定性出發(fā),利用沖壓、焊裝、涂裝、總裝4大工藝車(chē)間之間的緩沖區(qū)的水池效應(yīng),使生產(chǎn)的波動(dòng)在上下游車(chē)間的傳遞過(guò)程中得到衰減或屏蔽。由于每個(gè)工藝車(chē)間的生產(chǎn)特點(diǎn)都不同,本文分析了各自的特點(diǎn),然后針對(duì)性的提出了各個(gè)工藝車(chē)間生產(chǎn)計(jì)劃制定的目標(biāo)和約束,然后提出了一種工藝車(chē)間滾動(dòng)計(jì)劃動(dòng)態(tài)自動(dòng)排產(chǎn)系統(tǒng),并且建立了四大工藝車(chē)間的滾動(dòng)計(jì)劃排程的數(shù)學(xué)模型,從而有效的解決了生產(chǎn)波動(dòng)在整條生產(chǎn)線逐級(jí)傳遞的問(wèn)題。 最后本文的研究成果已經(jīng)在海馬汽車(chē)MES系統(tǒng)中得到驗(yàn)證和實(shí)施。一方面本文提出的禁忌—遞階遺傳算法在求解實(shí)際問(wèn)題時(shí),表現(xiàn)出來(lái)良好的效果,另一方面,本文提出的4大工藝車(chē)間關(guān)聯(lián)滾動(dòng)生產(chǎn)計(jì)劃排程模型也有效削弱了生產(chǎn)波動(dòng)在工藝車(chē)間之間的傳遞。
[Abstract]:For domestic automobile manufacturing enterprises, the phenomenon that the manufacturing plants of the same enterprise have spread all over the country has been widely appeared, and the dispersion of manufacturing resources has brought a great test to the management level of enterprises. From the view of intensive enterprise resources, improving operation efficiency and saving production cost, this paper sums up the malpractice of the three-layer management mode of "enterprise group, manufacturing branch factory and production line". The idea of collaborative manufacturing is used to integrate the four business platforms of enterprise group, so that the production line is directly involved in the decomposing process of enterprise group production outline, and the problems of production line capacity utilization ratio imbalance and resources can not be unified scheduling are solved. In addition, the Tabu-hierarchical genetic algorithm is used to solve this kind of typical problem. The results show that the load balance and production cost of the production line are improved significantly under different market demand. Tabu-hierarchical genetic algorithm is also a very effective algorithm. Because there are so many models involved in the mixed-flow production line, and the types and quantities of components required for each type of vehicle are very large, the formulation of its production plan is relatively more complicated, so it remains stable. Smooth production planning can effectively avoid production fluctuations. In order to maintain the stability of production plan of production line, the pool effect of buffer zone between stamping, welding, coating and final assembly is used in this paper, so that the fluctuation of production can be attenuated or shielded in the transmission process of upstream and downstream workshops. Because the production characteristics of each process workshop are different, this paper analyzes their own characteristics, and then puts forward the objectives and constraints of each process workshop production plan. Then a dynamic automatic production scheduling system for rolling planning of process workshop is proposed, and the mathematical model of rolling planning scheduling of four major process workshops is established, which effectively solves the problem that the fluctuation of production is transmitted step by step in the whole production line. Finally, the research results of this paper have been verified and implemented in the hippocampal automobile MES system. On the one hand, the Tabu-hierarchical genetic algorithm proposed in this paper shows good results in solving practical problems, on the other hand, The four related rolling production scheduling models proposed in this paper also effectively weaken the transfer of production fluctuations between the process workshops.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類號(hào)】：TH186

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本文編號(hào)：2225197