本文選題：生產(chǎn)物流 + 汽車座椅　； 參考：《武漢理工大學(xué)》2015年碩士論文

【摘要】：在企業(yè)的生產(chǎn)系統(tǒng)中,生產(chǎn)物流是其中重要的一個(gè)子系統(tǒng)。而隨著客戶需求變得多樣化,許多生產(chǎn)制造企業(yè)將會(huì)向多品種小批量的JIT生產(chǎn)方式發(fā)展。在JIT生產(chǎn)方式下,生產(chǎn)物流的管理水平將對(duì)整個(gè)生產(chǎn)系統(tǒng)的性能產(chǎn)生極大影響,而隨著市場(chǎng)的增長(zhǎng),生產(chǎn)制造企業(yè)必須不斷地優(yōu)化其生產(chǎn)及物流流程來滿足客戶的需求。在此背景下,可以對(duì)生產(chǎn)物流系統(tǒng)進(jìn)行仿真,尋求其瓶頸工序,從而提出優(yōu)化方案,以提高生產(chǎn)效率。本文以F汽車座椅公司為例,通過研究其生產(chǎn)及物流狀況,提出其生產(chǎn)物流過程中出現(xiàn)4個(gè)問題。然后,分別通過兩種方法來解決這些問題。一是建立其生產(chǎn)物流系統(tǒng)的概念模型。在此基礎(chǔ)上,通過采集多個(gè)變量的數(shù)據(jù),建立符合實(shí)際邏輯的生產(chǎn)物流系統(tǒng)仿真模型。然后通過運(yùn)行仿真模型輸出統(tǒng)計(jì)結(jié)果,從中找出制約整個(gè)生產(chǎn)系統(tǒng)性能的瓶頸流程,然后根據(jù)TOC理論,加大對(duì)其資源的投入,改善瓶頸流程,達(dá)到提升生產(chǎn)系統(tǒng)性能的目的。二是在理論上建立JIT安全庫存模型,通過平衡缺貨成本、信用懲罰成本和倉儲(chǔ)成本,來達(dá)到供應(yīng)鏈總成本的最優(yōu)化,降低JIT生產(chǎn)中存在的斷貨風(fēng)險(xiǎn)。同時(shí),還給出了信用懲罰參數(shù)的取值方法。本文提出了建立生產(chǎn)物流系統(tǒng)仿真模型的方法步驟。通過詳實(shí)的實(shí)際數(shù)據(jù),運(yùn)用JIT拉動(dòng)生產(chǎn)邏輯建立了F公司整椅裝配車間的Flexsim仿真模型,通過模型的運(yùn)行,找到了總裝車間的“瓶頸”流程,根據(jù)TOC理論,提出生產(chǎn)物流優(yōu)化方案,執(zhí)行方案后,使得總裝生產(chǎn)線完成生產(chǎn)任務(wù)時(shí)間降低了12.26%。本文還提出了仿真模型的改進(jìn)方法,以便進(jìn)一步地提升仿真模型的真實(shí)程度,提高模型的抗風(fēng)險(xiǎn)能力。為生產(chǎn)制造企業(yè)提供了一種優(yōu)化方法。相對(duì)于傳統(tǒng)的利用解析模型求解瓶頸工位的方法,Flexsim仿真能以直觀的3D動(dòng)畫形式展現(xiàn)系統(tǒng)的運(yùn)作過程,同時(shí),對(duì)于復(fù)雜的離散型系統(tǒng),Flexsim可以簡(jiǎn)潔地完成建模步驟。而解析模型需要極強(qiáng)的數(shù)學(xué)基礎(chǔ),并且需要諸多假設(shè)的理想條件,已很難滿足實(shí)際需求。本文主要是以F公司的實(shí)際情況展開,有其特殊性,而且其仿真模型和解析模型未考慮到某些極端環(huán)境,在未來的研究中,應(yīng)當(dāng)加入各種極端環(huán)境下的觸發(fā)邏輯,已提高仿真模型的實(shí)用性。
[Abstract]:In the production system of enterprises, production logistics is an important subsystem. With the diversification of customer demand, many manufacturing enterprises will develop to multi-variety and small-batch JIT production mode. Under the JIT mode of production, the management level of production logistics will have a great impact on the performance of the whole production system. With the growth of the market, manufacturing enterprises must constantly optimize their production and logistics processes to meet the needs of customers. Under this background, the production logistics system can be simulated to find the bottleneck procedure, and then the optimization scheme can be put forward to improve the production efficiency. This paper takes F automobile seat company as an example, through studying its production and logistics situation, puts forward four problems in its production and logistics process. Then, through two methods to solve these problems. The first is to establish the conceptual model of its production logistics system. On this basis, the simulation model of production logistics system is established by collecting the data of many variables. Then the bottleneck process which restricts the performance of the whole production system is found out by the statistical results of the running simulation model. Then according to the TOC theory, the input of its resources is increased, the bottleneck process is improved, and the purpose of improving the performance of the production system is achieved. The second is to establish the JIT safe inventory model theoretically. By balancing the cost of stock out of stock credit penalty cost and storage cost the total cost of supply chain can be optimized and the risk of running out of goods in JIT production can be reduced. At the same time, the method of determining credit penalty parameters is given. In this paper, the method and steps of establishing the simulation model of production logistics system are put forward. The Flexsim simulation model of the whole chair assembly workshop of F Company is established by using the JIT pull production logic through the detailed practical data. Through the operation of the model, the "bottleneck" flow of the assembly shop is found, and according to the TOC theory, The optimization plan of production logistics is put forward, and the time of finishing production task of assembly line is reduced by 12.26% after carrying out the plan. In order to enhance the real degree of the simulation model and improve the anti-risk ability of the simulation model, an improved method of simulation model is put forward in this paper. It provides an optimization method for manufacturing enterprises. Compared with the traditional analytical model, the Flexsim simulation can show the operation process of the system in the form of visual 3D animation. At the same time, for the complex discrete system, Flexsim can accomplish the modeling steps succinctly. The analytical model needs a strong mathematical foundation and many hypothetical ideal conditions, so it is difficult to meet the actual requirements. This paper is mainly based on the actual situation of company F, has its particularity, and its simulation model and analytical model does not take into account some extreme environment, in the future research, should add various extreme environment trigger logic, The practicability of the simulation model has been improved.
【學(xué)位授予單位】：武漢理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：F426.8;F252.1;U468

【參考文獻(xiàn)】

相關(guān)期刊論文 前4條

1 孔令革;魯建廈;詹燕;;基于排隊(duì)網(wǎng)絡(luò)的生產(chǎn)物流瓶頸轉(zhuǎn)移研究[J];浙江工業(yè)大學(xué)學(xué)報(bào);2011年06期

2 劉敏;王翠;;生產(chǎn)物流的瓶頸辨識(shí)及轉(zhuǎn)移研究狀況分析[J];企業(yè)經(jīng)濟(jì);2011年08期

3 宋志蘭;劉躍怡;;基于約束理論和網(wǎng)絡(luò)計(jì)劃的生產(chǎn)物流研究及實(shí)證[J];物流技術(shù);2011年05期

4 寶斯琴塔娜;陳紅霞;姜廣君;周歆華;;基于FLEXSIM的流水線生產(chǎn)物流優(yōu)化[J];工業(yè)工程與管理;2008年04期

相關(guān)會(huì)議論文 前1條

1 唐立新;郭慶新;楊陽;蘇麗杰;;生產(chǎn)優(yōu)化調(diào)度理論與方法發(fā)展研究[A];2010-2011控制科學(xué)與工程學(xué)科發(fā)展報(bào)告[C];2011年

相關(guān)博士學(xué)位論文 前4條

1 郭宏斌;基于精益生產(chǎn)理論的卷煙機(jī)械制造企業(yè)物流系統(tǒng)優(yōu)化及仿真研究[D];中南大學(xué);2012年

2 朱煒;流程工業(yè)生產(chǎn)系統(tǒng)TRF模型及方法研究[D];浙江大學(xué);2012年

3 高貴兵;混流制造系統(tǒng)生產(chǎn)物流關(guān)鍵問題優(yōu)化研究[D];華中科技大學(xué);2011年

4 錢芝網(wǎng);基于柔性生產(chǎn)的企業(yè)物流系統(tǒng)構(gòu)建與仿真研究[D];江蘇大學(xué);2009年

相關(guān)碩士學(xué)位論文 前10條

1 師瑋謙;基于Flexsim的J公司生產(chǎn)物流仿真研究[D];廈門大學(xué);2014年

2 王煥玉;制造車間的生產(chǎn)物流瓶頸辨識(shí)與漂移研究[D];合肥工業(yè)大學(xué);2013年

3 江鴻;K公司生產(chǎn)物流的精益化實(shí)踐研究[D];蘇州大學(xué);2013年

4 馮靜芳;WX公司汽車零部件生產(chǎn)物流優(yōu)化問題研究[D];大連海事大學(xué);2012年

5 劉聰;中小型生產(chǎn)企業(yè)物流共生模式研究[D];大連海事大學(xué);2011年

6 曹健飛;基于Petri網(wǎng)的生產(chǎn)物流仿真研究[D];哈爾濱工業(yè)大學(xué);2011年

7 周海榮;離散制造企業(yè)生產(chǎn)物流系統(tǒng)建模與仿真[D];西南交通大學(xué);2011年

8 蔡兵科;某小批量多品種制造企業(yè)的生產(chǎn)物流研究[D];上海交通大學(xué);2010年

9 賈慧慧;汽車后橋生產(chǎn)物流系統(tǒng)研究[D];武漢理工大學(xué);2010年

10 石曉輝;基于Flexsim的生產(chǎn)流程建模與仿真研究[D];安徽理工大學(xué);2009年

，

本文編號(hào)：1819599