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  本文選題：生產(chǎn)物流 + 離散隨機(jī)�。� 參考：《西南交通大學(xué)》2011年碩士論文

【摘要】：生產(chǎn)物流系統(tǒng)是典型的離散事件動態(tài)系統(tǒng)(DEDS),受到很多隨機(jī)因素影響且難以用數(shù)學(xué)方法解析。本文在系統(tǒng)分析制造企業(yè)物流現(xiàn)狀和離散事件系統(tǒng)方法理論的基礎(chǔ)上,應(yīng)用Petri網(wǎng)建模工具和Em-plant生產(chǎn)物流仿真軟件,對企業(yè)生產(chǎn)物流系統(tǒng)進(jìn)行了建模仿真。 首先引入Petri網(wǎng)理論,建立了X企業(yè)物流流程Petri網(wǎng)模型；明確了以馬爾科夫狀態(tài)轉(zhuǎn)移過程為核心思想的邏輯流程以及指標(biāo)算法,從而對案例進(jìn)行定性與定量的分析,給出了采購、制造環(huán)節(jié)的平均延時計算公式。在此基礎(chǔ)上,為優(yōu)化X企業(yè)物流業(yè)務(wù)流程、提高管理水平,提出了相應(yīng)的建議和改進(jìn)措施。 針對離散系統(tǒng)的不確定性問題,本文對物流系統(tǒng)進(jìn)行產(chǎn)能估算,利用仿真手段得出了區(qū)別傳統(tǒng)定值產(chǎn)能的產(chǎn)能波動值；同時研究了系統(tǒng)隨機(jī)因素如工時波動、設(shè)備故障和緊急訂單等,提出了一種通過比較工序工時對系統(tǒng)產(chǎn)能干擾影響程度大小來確定瓶頸環(huán)節(jié)的新方法。 在對X企業(yè)內(nèi)物流業(yè)務(wù)流程Petri網(wǎng)建模和生產(chǎn)物流系統(tǒng)隨機(jī)仿真的基礎(chǔ)上,定義了生產(chǎn)物流系統(tǒng)可靠性的概念,構(gòu)建了生產(chǎn)物流系統(tǒng)可靠性框架組成,在前人的研究基礎(chǔ)上,重點研究了串、并聯(lián)生產(chǎn)線可靠性和緊急訂單的定量評價。同時提出了基于生產(chǎn)線穩(wěn)健性的優(yōu)化措施如定期檢修、設(shè)置安全庫存、加強(qiáng)制度規(guī)范等。 生產(chǎn)物流系統(tǒng)是非常復(fù)雜的離散動態(tài)系統(tǒng),需從各個角度進(jìn)行深入和綜合的研究。本文的研究為制造企業(yè)優(yōu)化生產(chǎn),提高物流管理水平,保證生產(chǎn)物流系統(tǒng)可靠度提供了研究思路。
[Abstract]:Production logistics system is a typical discrete event dynamic system (DEDs), which is influenced by many random factors and difficult to be solved by mathematical method. Based on the analysis of the present situation of manufacturing enterprise logistics and the theory of discrete event system method, this paper uses Petri net modeling tool and Em-plant production logistics simulation software to model and simulate the enterprise production logistics system. Firstly, the Petri net model of X enterprise logistics process is established by introducing Petri net theory, and the logic flow and index algorithm based on Markov state transition process are defined, and the qualitative and quantitative analysis of the case is given. The formula for calculating the average delay of manufacturing link. On this basis, some suggestions and improvement measures are put forward to optimize the logistics business process and improve the management level of X enterprise. Aiming at the uncertain problem of discrete system, this paper estimates the capacity of logistics system, obtains the capacity fluctuation value that distinguishes the traditional fixed capacity by means of simulation, and studies the system stochastic factors such as man-hour fluctuation. In this paper, a new method is proposed to determine the bottleneck by comparing the influence of working hours on the system productivity disturbance, such as equipment failure and emergency orders. On the basis of modeling of logistics business process Petri net and stochastic simulation of production logistics system in X enterprise, the concept of reliability of production logistics system is defined, and the framework of reliability of production logistics system is constructed. The reliability of serial and parallel production lines and the quantitative evaluation of emergency orders are mainly studied. At the same time, the optimization measures based on the robustness of production line are put forward, such as regular maintenance, setting up safety inventory, strengthening system standard and so on. Production logistics system is a very complex discrete dynamic system. The research in this paper provides a research idea for manufacturing enterprises to optimize production, improve the level of logistics management and ensure the reliability of production logistics system.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2011
【分類號】：TH186;F253.9

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 馬至遠(yuǎn);離散制造業(yè)生產(chǎn)物流參數(shù)設(shè)定與仿真優(yōu)化系統(tǒng)研究[D];山東大學(xué);2013年

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本文編號：2089397