發(fā)布時間：2018-05-31 15:40

  本文選題：卡車內飾車間 + 平面布局規(guī)劃�。� 參考：《吉林大學》2015年碩士論文

【摘要】：現(xiàn)在的制造業(yè)競爭日益激烈，企業(yè)要想存活、發(fā)展就必須從成本和生產(chǎn)效率等方面進行改善，而生產(chǎn)車間布局的改善是最主要的途徑之一，一個好的生產(chǎn)車間布局會對企業(yè)生產(chǎn)各個方面產(chǎn)生影響，特別是在降低物流強度、減少物流成本、提高生產(chǎn)效率方面做出的貢獻尤為突出，基于此背景本文對F公司卡車內飾車間布局進行研究改善。 本文首先對F公司卡車內飾車間現(xiàn)有布局的相關數(shù)據(jù)資料進行統(tǒng)計收集，主要包括設施的位置尺寸、各作業(yè)單位之間的物流運量和運送距離，根據(jù)這些數(shù)據(jù)進行了F-D（物流量-距離）分析，找出該車間布局的不足之處。然后運用SLP（系統(tǒng)布置規(guī)劃）方法進行該車間平面布局的研究，其中主要運用了從至表和相關圖等圖表技術，進行物流分析、非物流分析，得到了各作業(yè)單元之間的綜合關系，最終根據(jù)作業(yè)單位的接近程度繪制出位置相關圖，為接下來的遺傳算法初始種群做好準備，運用遺傳算法進行全局搜索得到兩個近似最優(yōu)方案，其中用到了MATLB編程，提高了計算效率，得到的兩個方案加上初始方案，一共三個方案，最后進行評價選優(yōu)，本文運用了層次分析法和灰色關聯(lián)度分析法兩種思路完全不同的評價方法，其中層次分析法的運用過程用到了調查問卷法，并用MATLAB進行相關權重計算和一致性檢驗，而灰色關聯(lián)度分析法的運用過程也用到了調查問卷法進行評價指標評價值的確定，另外評價指標的權重運用極值迭代法求得，最終兩種方法得到的結論一致，為最優(yōu)方案的選擇進行更充分的佐證。進行優(yōu)化前后對比分析，，對比結果得出最優(yōu)布局與初始布局相比大大降低了物流成本，具有重要的實用價值。
[Abstract]:Nowadays, the competition in manufacturing industry is becoming increasingly fierce. If enterprises want to survive, they must improve their development from the aspects of cost and production efficiency, and the improvement of the layout of production workshops is one of the most important ways. A good layout of production workshops will have an impact on all aspects of enterprise production, especially in reducing logistics intensity, reducing logistics costs, and improving production efficiency. Based on this background, this paper studies and improves the layout of truck interior workshop in F Company. In this paper, we first collect the relevant data about the existing layout of truck interior workshop in F Company, mainly including the location size of the facility, the logistics volume and the transportation distance between the operation units. Based on these data, F-D (material flow-distance) analysis is carried out to find out the shortcomings of the workshop layout. Then SLP (system layout Planning) method is used to study the layout of the workshop, in which the paper mainly uses chart technology, such as table to table and related diagrams, to analyze logistics and non-logistics, and get the comprehensive relationship between the operation units. Finally, according to the proximity of the job units, the position correlation map is drawn to prepare for the next genetic algorithm initial population, and the genetic algorithm is used to conduct global search to obtain two approximate optimal schemes, in which MATLB programming is used. The efficiency of the calculation is improved, the two schemes and the initial scheme are obtained, and there are three schemes. Finally, the evaluation and selection are carried out. In this paper, two completely different evaluation methods are used, the analytic hierarchy process (AHP) and the grey correlation degree analysis (Grey Relational Analysis). The analytic hierarchy process uses the questionnaire method, and carries on the correlation weight calculation and the consistency test with the MATLAB, and the gray correlation analysis method also uses the questionnaire method to evaluate the value of the evaluation index. In addition, the weight of the evaluation index is obtained by the extreme value iterative method. Finally, the conclusion of the two methods is the same, which is a more sufficient evidence for the selection of the optimal scheme. The results show that the optimal layout can greatly reduce the logistics cost compared with the initial layout, which is of great practical value.
【學位授予單位】：吉林大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U468.2;TP18

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本文編號：1960388