【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)單元劃分和作業(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

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 趙敏;殷歡;孫棣華;鄭林江;何偉;袁川;;基于改進(jìn)人工魚群算法的柔性作業(yè)車間調(diào)度[J];中國機(jī)械工程;2016年08期

2 周述波;劉偉;羅萍;;一種新穎的人工魚群算法[J];廣東工業(yè)大學(xué)學(xué)報(bào);2015年04期

3 唐蕾蕾;;制造企業(yè)生產(chǎn)物流存在問題及對策研究[J];淮海工學(xué)院學(xué)報(bào)(人文社會科學(xué)版);2013年16期

4 莊薇;陳勇;阮幸聰;方秋軍;胡婷婷;;基于價(jià)值流的電動工具生產(chǎn)線分析與改善[J];工業(yè)工程;2011年02期

5 劉光富;李苗;;基于精益思想的生產(chǎn)線改造仿真與研究[J];工業(yè)工程;2008年06期

6 葉海虹;梁德豐;;中小型制造企業(yè)生產(chǎn)物流系統(tǒng)的優(yōu)化[J];新西部(下半月);2008年10期

7 張梅鳳;邵誠;;多峰函數(shù)優(yōu)化的生境人工魚群算法[J];控制理論與應(yīng)用;2008年04期

8 苑明海;李東波;于敏建;;面向大規(guī)模定制的混流裝配線平衡研究[J];計(jì)算機(jī)集成制造系統(tǒng);2008年01期

9 鐘一文;蔡榮英;;求解二次分配問題的離散粒子群優(yōu)化算法[J];自動化學(xué)報(bào);2007年08期

10 于哲舟;呂聰穎;周春光;;二次分配問題的粒子群算法求解[J];計(jì)算機(jī)工程與應(yīng)用;2005年36期

，

本文編號：2152170