【摘要】：生產(chǎn)線平衡是制造企業(yè)底層生產(chǎn)流程設(shè)計(jì)規(guī)劃和重組優(yōu)化的重要方法之一，即在給定的約束條件下，將一系列具有優(yōu)先關(guān)系的作業(yè)要素分配給合適數(shù)量的工作站，以實(shí)現(xiàn)生產(chǎn)線的平衡。生產(chǎn)線的不平衡會(huì)造成大量的工時(shí)損失，也會(huì)造成大量的在制品堆積，嚴(yán)重時(shí)會(huì)導(dǎo)致生產(chǎn)的中止。 本文在總結(jié)和分析了近年來(lái)國(guó)內(nèi)外研究生產(chǎn)線平衡技術(shù)方法的基礎(chǔ)上，針對(duì)現(xiàn)有生產(chǎn)平衡技術(shù)中研究較少的方面-第二類生產(chǎn)線平衡問(wèn)題，將工業(yè)工程方法與改進(jìn)遺傳算法相結(jié)合，提出一種用改進(jìn)遺傳算法來(lái)分析、解決生產(chǎn)線平衡問(wèn)題的方法技術(shù)，并把這種方法應(yīng)用到實(shí)際生產(chǎn)線平衡問(wèn)題的改善上，取得了較好的效果。 本文首先對(duì)生產(chǎn)線平衡問(wèn)題概念進(jìn)行了基本闡述，并回顧總結(jié)了國(guó)內(nèi)外生產(chǎn)線平衡問(wèn)題的常用求解思路和算法。在此基礎(chǔ)上針對(duì)本公司Blue Line2產(chǎn)品生產(chǎn)線現(xiàn)狀進(jìn)行了分析，提出了該生產(chǎn)線平衡問(wèn)題為第二類生產(chǎn)線平衡問(wèn)題，圍繞該生產(chǎn)線平衡優(yōu)化目標(biāo)，使用傳統(tǒng)工業(yè)工程方法對(duì)生產(chǎn)線平衡問(wèn)題進(jìn)行了初步的研究，使生產(chǎn)線的平衡率提高到71%左右，同時(shí)考慮到該生產(chǎn)線工序多達(dá)近40個(gè)，傳統(tǒng)工業(yè)工程方法不能進(jìn)一步給出優(yōu)化改善的情況下，提出了利用改進(jìn)遺傳算法來(lái)研究上述問(wèn)題。本文利用Matlab編程工具完成了改進(jìn)遺傳算法的編程，，并利用經(jīng)典生產(chǎn)平衡問(wèn)題對(duì)算法進(jìn)行了驗(yàn)證，利用該算法對(duì)實(shí)際生產(chǎn)線進(jìn)行了模擬優(yōu)化，結(jié)果表明，此種算法能夠較好的解決第二類生產(chǎn)平衡問(wèn)題，對(duì)提高生產(chǎn)線平衡率和降低生產(chǎn)線的負(fù)荷不平衡有較好的結(jié)果。 最后在基于Matlab的改進(jìn)遺傳算法優(yōu)化后的結(jié)果下對(duì)實(shí)際裝配生產(chǎn)線平衡問(wèn)題進(jìn)行優(yōu)化平衡，并對(duì)平衡優(yōu)化前后的指標(biāo)進(jìn)行了對(duì)比和評(píng)價(jià)。 本文通過(guò)對(duì)第二類生產(chǎn)平衡問(wèn)題的深入研究，并采用改進(jìn)遺傳算法對(duì)問(wèn)題進(jìn)行了優(yōu)化求解，該研究結(jié)果表明該研究在解決平衡生產(chǎn)線，企業(yè)資源優(yōu)化配置，提高企業(yè)生產(chǎn)效率，提高企業(yè)競(jìng)爭(zhēng)力具有較好效果。
[Abstract]:Production line balance is one of the most important methods to design and reorganize manufacturing processes in manufacturing enterprises. Under given constraints, a series of operational elements with priority relationship are assigned to a suitable number of workstations. In order to achieve the balance of the production line. The imbalance of the production line will cause a lot of man-hour loss, also will cause a large number of in-process product accumulation, serious will lead to the suspension of production. On the basis of summarizing and analyzing the research methods of production line balance technology at home and abroad in recent years, this paper aims at the problem of the second kind of production line balance, which is less studied in the existing production balance technology. Combining the industrial engineering method with the improved genetic algorithm, this paper puts forward a method and technology of analyzing and solving the problem of production line balance by using the improved genetic algorithm, and applies this method to the improvement of the balance problem of the actual production line. Good results have been obtained. In this paper, the concept of production line balance problem is introduced, and the common solutions and algorithms of production line balance problem at home and abroad are reviewed and summarized. Based on the analysis of the current situation of the Blue Line2 product line of our company, the paper puts forward that the balance problem of the production line is the second kind of production line balance problem, and focuses on the optimization goal of the product line balance. The balance problem of production line is studied by using traditional industrial engineering method, and the balance rate of production line is raised to about 71%. Considering that there are as many as 40 processes in the production line, the balance rate of the production line is increased to about 71%. Under the condition that the traditional industrial engineering method can not give the optimization improvement further, the improved genetic algorithm is proposed to study the above problems. In this paper, Matlab programming tool is used to complete the programming of improved genetic algorithm, and the algorithm is verified by classical production balance problem. The algorithm is used to simulate and optimize the actual production line, and the results show that: This algorithm can solve the problem of the second kind of production balance better, and has a good result to improve the balance rate of the production line and reduce the unbalanced load of the production line. Finally, under the optimized results of the improved genetic algorithm based on Matlab, the balance problem of the actual assembly production line is optimized, and the indexes before and after the optimization are compared and evaluated. In this paper, the second kind of production balance problem is studied deeply, and the improved genetic algorithm is used to solve the problem. The results show that this research can solve the problem of balancing production line, optimizing the allocation of enterprise resources and improving the production efficiency of enterprises. Improving the competitiveness of enterprises has a good effect.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP18;F416.6

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 趙奕,趙增墀,張隆昌,張積善,蘇梅;裝配流水生產(chǎn)線的負(fù)載平衡[J];紡織器材;1997年01期

2 林筠,李隨成;多品種可變流水線平衡及改善[J];工業(yè)工程;2000年02期

3 魯建廈,蘭秀菊,陳勇,陳呈頻,陸松;工作研究在生產(chǎn)裝配線優(yōu)化設(shè)計(jì)的應(yīng)用[J];工業(yè)工程與管理;2004年01期

4 朱瓊;陳雪芳;田世勇;張潔;;基于仿真技術(shù)的生產(chǎn)線平衡優(yōu)化研究與應(yīng)用[J];工業(yè)工程與管理;2008年04期

5 呂惠娟;胡亞輝;滕獻(xiàn)銀;;裝配線平衡問(wèn)題改進(jìn)算法[J];機(jī)床與液壓;2008年12期

6 陸葉;蘇平;;混合裝配線平衡問(wèn)題的建模與分析[J];機(jī)電產(chǎn)品開發(fā)與創(chuàng)新;2007年05期

7 陳永卿;潘剛;李平;;基于混合遺傳算法的裝配線平衡[J];機(jī)電工程;2008年04期

8 陳曉峰,肖田元,郝新,喬桂秀;應(yīng)用遺傳算法解決裝配線平衡問(wèn)題[J];計(jì)算機(jī)工程與應(yīng)用;2001年23期

9 王紅軍;趙建輝;;基于遺傳的裝配線平衡系統(tǒng)研究[J];計(jì)算機(jī)工程與應(yīng)用;2008年10期

10 陳建行;張其松;;蟻群算法在裝配線平衡問(wèn)題中的應(yīng)用[J];計(jì)算機(jī)時(shí)代;2008年12期

本文編號(hào)：2431782