本文選題：生產(chǎn)線平衡　切入點(diǎn)：改善　出處：《南昌大學(xué)》2014年碩士論文

【摘要】：生產(chǎn)線平衡是制造業(yè)生產(chǎn)管理的重要組成部分，在既定的約束條件下，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。提高生產(chǎn)線平衡率不僅能夠減少工時(shí)損失，提高生產(chǎn)力，減少在制品的數(shù)量，而且能夠降低停線風(fēng)險(xiǎn)。 通過對國內(nèi)外生產(chǎn)線平衡技術(shù)的總結(jié)和分析，將工業(yè)工程思想和遺傳算法結(jié)合，提出使用改進(jìn)的遺傳算法解決第二類生產(chǎn)線平衡問題，并將這種方法實(shí)際運(yùn)用到生產(chǎn)中，取得了良好的效果。 本文首先闡述了生產(chǎn)線平衡問題基本概念，然后對解決生產(chǎn)線平衡問題所需要的工具和方法進(jìn)行了詳細(xì)的介紹。在此基礎(chǔ)上，對W公司生產(chǎn)線的生產(chǎn)現(xiàn)狀作出分析，運(yùn)用工業(yè)工程的方法獲取基礎(chǔ)數(shù)據(jù)，并基于工業(yè)工程思想對其進(jìn)行了初步改善，但是由于該生產(chǎn)線的作業(yè)單元超過80個(gè)，使用傳統(tǒng)的工業(yè)工程方法難以達(dá)到改善目的，提出了使用遺傳算法對其進(jìn)行改善。本文利用matlab編程工具對遺傳算法進(jìn)行編程，以Jackson平衡問題為例驗(yàn)證了算法的可行性。最后根據(jù)模擬優(yōu)化結(jié)果對生產(chǎn)線進(jìn)行了改善，并對改善結(jié)果做出分析。 本文運(yùn)用遺傳算法對生產(chǎn)線進(jìn)行平衡改善，提高了生產(chǎn)線的生產(chǎn)力，降低了企業(yè)生產(chǎn)成本，也能為企業(yè)優(yōu)化資源配置，提高企業(yè)效益提供相應(yīng)幫助。
[Abstract]:Production line balance is an important part of manufacturing production management. Under established constraints, a series of priority factors are assigned to a suitable number of workstations to achieve production line balance.Increasing the balance ratio of production line can not only reduce the loss of working hours, increase productivity, reduce the quantity of WIP, but also reduce the risk of stopping line.Through summing up and analyzing the balance technology of production line at home and abroad, combining the idea of industrial engineering with genetic algorithm, this paper puts forward to use the improved genetic algorithm to solve the balance problem of the second kind production line, and applies this method to production.Good results have been achieved.In this paper, the basic concept of production line balance problem is introduced, and then the tools and methods needed to solve the production line equilibrium problem are introduced in detail.On this basis, the production status of the production line of W Company is analyzed, and the basic data are obtained by using the method of industrial engineering, and the production line is preliminarily improved based on the idea of industrial engineering. However, since the production line has more than 80 operating units,The traditional industrial engineering method is difficult to achieve the purpose of improvement, and genetic algorithm is proposed to improve it.In this paper, the genetic algorithm is programmed with matlab programming tool. The feasibility of the algorithm is verified by taking the Jackson equilibrium problem as an example.Finally, the production line is improved according to the simulation optimization results, and the improvement results are analyzed.In this paper, genetic algorithm is used to improve the balance of the production line, improve the productivity of the production line, reduce the production cost of the enterprise, and also provide corresponding help for the enterprise to optimize the allocation of resources and improve the efficiency of the enterprise.
【學(xué)位授予單位】：南昌大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP18;TB497

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