發(fā)布時間：2019-05-24 14:07

【摘要】：專業(yè)化分工以及現(xiàn)代化市場發(fā)展使得生產(chǎn)系統(tǒng)網(wǎng)絡(luò)化特征越來越明顯，從生產(chǎn)部門到供應(yīng)鏈網(wǎng)絡(luò)，不同層次和組織間的交流、關(guān)聯(lián)、制衡等關(guān)系復(fù)雜而多變，，構(gòu)成了具有自我響應(yīng)且隨機動態(tài)波動的復(fù)雜網(wǎng)絡(luò)。多品種、小批量生產(chǎn)方式正成為制造業(yè)主導(dǎo)。為了提高系統(tǒng)生產(chǎn)效率就需要對系統(tǒng)參數(shù)進行廣泛研究，由于制造系統(tǒng)中存在許多可控或者不可控的隨機事件，所有制造系統(tǒng)一般來說都是混雜系統(tǒng)�？梢哉f，對混雜系統(tǒng)進行性能評估及優(yōu)化控制是生產(chǎn)規(guī)劃和管理中重要的研究問題之一。本文正是通過兩類不同的性能分析方法對混雜生產(chǎn)線系統(tǒng)進行性能評估，并以此為基礎(chǔ)，研究該混雜系統(tǒng)的混雜自動機建模與優(yōu)化控制方法，做出的主要工作以及獲得的主要研究成果如下： 1.介紹了本文的研究背景，按照不同研究模型、不同生產(chǎn)網(wǎng)絡(luò)結(jié)構(gòu)的發(fā)展階段，介紹了一些關(guān)于不可靠制造系統(tǒng)以及混雜系統(tǒng)的基本概念，并進行了簡單的回顧和總結(jié)，并提出了當前存在的問題和以后的發(fā)展方向。 2.對設(shè)備具有不完全故障模式的雙設(shè)備模型，在離散模型基礎(chǔ)上，提出了當有限緩沖區(qū)為不可靠時，系統(tǒng)性能參數(shù)評估的方法，通過狀態(tài)概率間存在的擬生滅過程等式給出了一種有效計算系統(tǒng)生產(chǎn)率和平均緩沖區(qū)水平的方法，克服了算法復(fù)雜性的難題，并通過程序仿真證明了系統(tǒng)參數(shù)對性能評估的影響，由仿真數(shù)據(jù)的差異得到了影響系統(tǒng)性能的主要因素和參數(shù)特征。 3.提出了流水線生產(chǎn)線系統(tǒng)的綜合分析方法并推導(dǎo)出相應(yīng)的公式。不同于傳統(tǒng)的生產(chǎn)模型，該生產(chǎn)線的緩沖區(qū)不可靠且具有多種隨機故障模式，因此這種方法能夠?qū)Ω鼜?fù)雜的生產(chǎn)線系統(tǒng)進行性能分析。 4.基于生產(chǎn)線連續(xù)和離散并存的混雜特征，提出了混雜系統(tǒng)的建模及其優(yōu)化控制方法。研究了加工單元混雜自動機模型，對滿足一定產(chǎn)量情況下最大化機器利用率的混雜優(yōu)化控制進行了研究，提出了基于蒙特卡洛法的性能優(yōu)化仿真計算方法。最后，對某有限緩沖容量串行生產(chǎn)線進行了仿真計算，仿真結(jié)果驗證了該研究方法的可行性和有效性。
[Abstract]:The specialization division of labor and the development of modern market make the network characteristics of production system more and more obvious. From the production department to the supply chain network, the communication, correlation and checks and balances between different levels and organizations are complex and changeable. A complex network with self-response and random dynamic fluctuation is constructed. Multi-variety, small batch production mode is becoming the leading manufacturing industry. In order to improve the production efficiency of the system, it is necessary to study the system parameters extensively. Because there are many controllable or uncontrollable random events in the manufacturing system, all manufacturing systems are generally hybrid systems. It can be said that performance evaluation and optimal control of hybrid systems is one of the important research problems in production planning and management. In this paper, the performance of hybrid production line system is evaluated by two different performance analysis methods, and on this basis, the hybrid automaton modeling and optimization control method of the hybrid system is studied. The main work done and the main research results obtained are as follows: 1. This paper introduces the research background of this paper, according to different research models and the development stage of different production network structure, introduces some basic concepts of unreliable manufacturing system and hybrid system, and makes a simple review and summary. The existing problems and the development direction in the future are put forward. 2. On the basis of the discrete model, a method for evaluating the performance parameters of the system when the finite buffer is unreliable is proposed for the dual device model with incomplete fault mode. Based on the equation of quasi-birth and death process existing between state probabilities, an effective method for calculating the productivity and average buffer level of the system is presented, which overcomes the problem of complexity of the algorithm. The influence of system parameters on performance evaluation is proved by program simulation, and the main factors and parameter characteristics affecting system performance are obtained from the difference of simulation data. 3. The comprehensive analysis method of pipeline production line system is put forward and the corresponding formula is derived. Different from the traditional production model, the buffer of the production line is unreliable and has a variety of random fault modes, so this method can analyze the performance of more complex production line systems. 4. Based on the hybrid characteristics of continuous and discrete production lines, the modeling and optimal control method of hybrid systems are proposed. The hybrid automaton model of machining unit is studied, and the hybrid optimization control which maximizes the machine utilization under certain output is studied. A performance optimization simulation method based on Monte Carlo method is proposed. Finally, the simulation calculation of a serial production line with limited buffer capacity is carried out, and the simulation results verify the feasibility and effectiveness of the research method.
【學(xué)位授予單位】：蘭州理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TH166

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