【摘要】：在市場競爭日益激烈的環(huán)境下,企業(yè)要想最大限度地利用現(xiàn)有資源,以較低的成本快速生產(chǎn)出客戶所需要的產(chǎn)品,進(jìn)而提升企業(yè)的核心競爭力。企業(yè)首要的任務(wù)就是要設(shè)計有效的混流裝配生產(chǎn)系統(tǒng),然后,以合理的方式管理系統(tǒng)的人員、資本和物料。為了實現(xiàn)這一目標(biāo),物料配送與預(yù)裝線生產(chǎn)必需緊密配合。因此,對混流裝配投產(chǎn)排序與物料配送問題進(jìn)行集成研究具有重要的現(xiàn)實意義。本文以某冷柜公司門組車間門體生產(chǎn)系統(tǒng)為研究對象,研究混流裝配線投產(chǎn)排序和物料配送問題。門組車間混流裝配生產(chǎn)系統(tǒng)是一個復(fù)雜的系統(tǒng),在混流生產(chǎn)情況下,以混流裝配線投產(chǎn)排序指導(dǎo)混流裝配線物料配送,而適時、適量的物料供應(yīng)是混流裝配生產(chǎn)正常運行的有效保障。為降低求解混流裝配線投產(chǎn)排序與物料配送問題集成研究的復(fù)雜性,本文提出了混流裝配線投產(chǎn)排序和物料配送問題兩階段求解方法。首先對冷柜門體預(yù)裝生產(chǎn)線的投產(chǎn)排序問題進(jìn)行研究。分析了混流裝配線投產(chǎn)排序主要特點,在此基礎(chǔ)上明確建模思路,以混流裝配線上各種零部件的消耗速率均勻化和最大加工周期最短這二個目標(biāo)函數(shù)建立多目標(biāo)排序優(yōu)化數(shù)學(xué)模型,并設(shè)計遺傳算法對該模型進(jìn)行求解,獲得較優(yōu)的排序結(jié)果。使得預(yù)裝生產(chǎn)線產(chǎn)品按照一定的比例和序列進(jìn)行排產(chǎn),保持工作站線邊各零部件消耗的穩(wěn)定性,縮短制造周期。然后在實現(xiàn)混流裝配線投產(chǎn)排序優(yōu)化基礎(chǔ)上,對混流裝配線物料配送問題進(jìn)行研究。分析了單工位直送和工位集零擔(dān)配送模式,得到物料配送需求優(yōu)化決策,以提高車輛配送滿載率為目標(biāo)建立了線邊庫存管理規(guī)劃模型,并利用遺傳算法工具箱求解該模型,獲得物料配送作業(yè)中的物料配送清單。針對實際上線序列,以該配送清單為配送任務(wù),就可以得到配送策略(直送還是工位集零擔(dān)配送),從而提高車輛使用率。最后為驗證本文所提出的方法的有效性,以該冷柜公司門體生產(chǎn)為背景,對混流生產(chǎn)投產(chǎn)排序和物料配送的實際問題作為案例進(jìn)行分析,將混流裝配線投產(chǎn)排序多目標(biāo)模型及求解算法、及以提高車輛配送滿載率為目標(biāo)建立了線邊庫存管理規(guī)劃模型及求解方法應(yīng)用于公司的實際生產(chǎn)當(dāng)中,驗證了模型及算法在實際應(yīng)用中的有效性。
[Abstract]:In the increasingly fierce market competition environment, enterprises want to make maximum use of existing resources to produce the products needed by customers at a lower cost, so as to enhance the core competitiveness of enterprises. The first task of an enterprise is to design an effective mixed-flow assembly production system, and then manage the personnel, capital and materials of the system in a reasonable manner. In order to achieve this goal, material distribution and pre-loading line production must be closely coordinated. Therefore, it is of great practical significance to study the integration of mixed flow assembly scheduling and material distribution. In this paper, the door body production system of the door group workshop of a freezer company is taken as the research object, and the scheduling and material distribution of the mixed flow assembly line are studied. The mixed flow assembly production system in the gate group workshop is a complex system. In the case of mixed flow production, the mixed flow assembly line is put into operation to guide the material distribution of the mixed flow assembly line, and timely, Proper material supply is an effective guarantee for the normal operation of mixed-flow assembly production. In order to reduce the complexity of solving the integration research of mixed flow assembly line production scheduling and material distribution problem, a two-stage method to solve the mixed flow assembly line production scheduling and material distribution problem is proposed in this paper. First of all, the production scheduling of freezer door body pre-loading production line is studied. The main characteristics of mixed flow assembly line commissioning and sequencing are analyzed, and on this basis, the modeling idea is clarified. The mathematical model of multi-objective sorting optimization is established by using the two objective functions of homogenization of consumption rate and shortest maximum machining period of various parts on the mixed flow assembly line, and the genetic algorithm is designed to solve the model, and the optimal sorting results are obtained. The products of the pre-installed production line can be arranged according to a certain proportion and sequence, the consumption stability of each part on the line side of the workstation can be maintained, and the manufacturing cycle can be shortened. Then, on the basis of optimizing the production and scheduling of mixed-flow assembly line, the material distribution problem of mixed-flow assembly line is studied. The distribution mode of single station direct delivery and station set zero load is analyzed, and the optimization decision of material distribution demand is obtained. in order to improve the full load rate of vehicle distribution, the line side inventory management planning model is established, and the model is solved by using genetic algorithm toolbox. Get the material distribution list in the material distribution operation. In view of the actual line sequence, the distribution strategy (direct delivery or station set zero load distribution) can be obtained by taking the distribution list as the distribution task, so as to improve the vehicle utilization rate. Finally, in order to verify the effectiveness of the method proposed in this paper, taking the door body production of the freezer company as the background, the practical problems of mixed flow production scheduling and material distribution are analyzed as a case study. The multi-objective model and solution algorithm of mixed flow assembly line are put into operation, and the line side inventory management planning model and solution method are established in order to improve the full load rate of vehicle distribution, and the solution method is applied to the actual production of the company. The effectiveness of the model and algorithm in practical application is verified.
【學(xué)位授予單位】：廣東工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TB49

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本文編號：2486721