【摘要】：生產(chǎn)線平衡問題一直是制造行業(yè)有待解決的問題,是衡量企業(yè)是否具有競爭力的重要指標(biāo)。它能夠解決合理安排生產(chǎn)線的人力,生產(chǎn)力和裝備運(yùn)力問題。論文旨在不違反現(xiàn)場施工原則的情況下,將各個(gè)工序合理分配給各個(gè)工位,以提高生產(chǎn)線的平衡率,提高企業(yè)生產(chǎn)力為目的。論文首先針對生產(chǎn)線平衡理論進(jìn)行研究,對比了遺傳算法、蟻群算法和人工魚群算法的優(yōu)缺點(diǎn),并引用改進(jìn)人工魚群算法對生產(chǎn)線平衡問題進(jìn)行研究。其次,以某汽車衡裝配生產(chǎn)線為例,根據(jù)現(xiàn)有工藝流程,對汽車衡生產(chǎn)線進(jìn)行作業(yè)單元?jiǎng)澐趾妥鳂I(yè)時(shí)間測定,得出各個(gè)工位工時(shí)柱狀圖,直觀地顯示出汽車衡生產(chǎn)線平衡率較低的問題。第三,根據(jù)發(fā)現(xiàn)的問題建立數(shù)學(xué)模型,設(shè)定約束條件,做出作業(yè)優(yōu)先關(guān)系圖。在此基礎(chǔ)上,在基本人工魚群算法的基礎(chǔ)上加入遺傳因子,對汽車衡生產(chǎn)線上的作業(yè)進(jìn)行重新編碼,交叉,變異,譯碼,重新排列和重組,搜尋最優(yōu)解,以此改進(jìn)工藝流程。使用MATLAB軟件對汽車衡生產(chǎn)線進(jìn)行仿真運(yùn)算,并根據(jù)其仿真結(jié)果分別計(jì)算其生產(chǎn)平衡率及平滑指數(shù)。最后結(jié)合實(shí)際情況,將算法模擬優(yōu)化出的結(jié)果加以調(diào)整,對改善后的汽車衡生產(chǎn)線進(jìn)行效果分析和評價(jià)。論文運(yùn)用改進(jìn)人工魚群算法對生產(chǎn)線平衡問題進(jìn)行探索研究,降低了生產(chǎn)節(jié)拍,提高了生產(chǎn)平衡率,為企業(yè)實(shí)現(xiàn)資源優(yōu)化配置更近了一步,也提高了企業(yè)的經(jīng)濟(jì)效益。
[Abstract]:Production line balance has always been a problem to be solved in manufacturing industry and an important index to measure the competitiveness of enterprises. It can solve the problem of rational arrangement of production line manpower, productivity and equipment capacity. The purpose of this paper is not to violate the principle of construction on the spot, to allocate each working procedure to each station reasonably, in order to improve the balance rate of production line and the productivity of enterprise. In this paper, the balance theory of production line is studied, and the advantages and disadvantages of genetic algorithm, ant colony algorithm and artificial fish swarm algorithm are compared, and the improved artificial fish swarm algorithm is used to study the balance problem of production line. Secondly, taking the assembly line of a certain truck scale as an example, according to the existing technological process, the working unit division and working time measurement of the vehicle scale production line are carried out, and the man-hour histogram of each work station is obtained. The problem of low balance rate of automobile scale production line is shown intuitively. Thirdly, the mathematical model is established according to the discovered problems, the constraint conditions are set up, and the work-first relation diagram is made. On this basis, genetic factors are added to the basic artificial fish swarm algorithm to recode, cross, mutate, decode, rearrange and reorganize, search for optimal solutions, and improve the process flow. The MATLAB software is used to simulate the automobile scale production line, and the production balance rate and the smoothing index are calculated according to the simulation results. Finally, combined with the actual situation, the results of the algorithm simulation and optimization are adjusted to analyze and evaluate the effect of the improved vehicle scale production line. In this paper, the improved artificial fish swarm algorithm is used to explore and study the production line balance problem, which reduces the production rhythm, increases the production balance rate, and improves the economic benefit of the enterprise.
【學(xué)位授予單位】：沈陽工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP18;U468.2

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