本文關(guān)鍵詞：基于復(fù)雜系統(tǒng)理論的煤炭碼頭通過能力影響因素研究　出處：《武漢理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 港口 物流 復(fù)雜性 通過能力 機(jī)理

【摘要】：煤炭碼頭物流系統(tǒng)是一個(gè)復(fù)雜的動(dòng)態(tài)系統(tǒng)，有許多不確定因素影響著其效能的發(fā)揮，其影響機(jī)理既是一個(gè)工程問題，也是一個(gè)學(xué)術(shù)難題。本文以復(fù)雜系統(tǒng)科學(xué)為導(dǎo)引，較為系統(tǒng)地剖析了輸出型煤炭碼頭物流系統(tǒng)的復(fù)雜性；基于排隊(duì)網(wǎng)絡(luò)理論，建立了碼頭物流系統(tǒng)穩(wěn)態(tài)數(shù)學(xué)模型，分析了相關(guān)影響因素及其對穩(wěn)態(tài)的作用機(jī)理；運(yùn)用系統(tǒng)仿真技術(shù)，完成了復(fù)雜因素與碼頭通過能力的仿真模型的搭建，定量研究了復(fù)雜因素與碼頭生產(chǎn)效能的關(guān)系，取得了顯著的成果： (1)運(yùn)用現(xiàn)代復(fù)雜系統(tǒng)科學(xué)理論，提出了煤炭碼頭物流系統(tǒng)靜態(tài)復(fù)雜性和動(dòng)態(tài)復(fù)雜性的概念，分析了碼頭物流系統(tǒng)的復(fù)雜因素；在深入研究碼頭通過能力理論計(jì)算方法的基礎(chǔ)上，歸納了影響碼頭物流系統(tǒng)生產(chǎn)效能的關(guān)鍵因素。 (2)基于排隊(duì)網(wǎng)絡(luò)理論，揭示了輸出型煤炭碼頭物流系統(tǒng)兼有Jackson和Fork-Join排隊(duì)網(wǎng)絡(luò)雙重特性，建立了碼頭物流系統(tǒng)的穩(wěn)態(tài)模型；借助敏感性分析方法，探索了相關(guān)因素對穩(wěn)態(tài)性能指標(biāo)的敏感度；研究發(fā)現(xiàn)穩(wěn)態(tài)時(shí)，船舶或火車的排隊(duì)長度和等待時(shí)間對相關(guān)因素的變化最敏感。 (3)運(yùn)用面向?qū)ο蠼Ｋ枷耄瑢γ禾看a頭物流系統(tǒng)進(jìn)行面向?qū)ο蠓治�，確定了系統(tǒng)的對象類；結(jié)合某大型碼頭實(shí)際運(yùn)營狀況，借助系統(tǒng)仿真技術(shù)，首次在Simio仿真試驗(yàn)平臺(tái)上建立了面向復(fù)雜因素的煤炭碼頭物流系統(tǒng)的仿真模型，并與實(shí)際數(shù)據(jù)對比，驗(yàn)證了模型的可行性和適用性。 (4)針對已建的仿真模型，就火車（船舶）到達(dá)間隔、堆存策略、設(shè)備數(shù)量和技術(shù)參數(shù)等部分復(fù)雜因素設(shè)計(jì)了仿真試驗(yàn)，并對仿真數(shù)據(jù)結(jié)果進(jìn)行了敏感性分析，，定量研究了復(fù)雜因素與碼頭生產(chǎn)效能的關(guān)系；首次繪制了相關(guān)因素與碼頭通過能力的因果關(guān)系圖，揭示了復(fù)雜因素的動(dòng)態(tài)作用機(jī)理。 本文的研究成果直接面向工程實(shí)際，有利于系統(tǒng)瓶頸的挖掘，為碼頭的規(guī)劃設(shè)計(jì)以及生產(chǎn)運(yùn)營管理提供理論依據(jù)和決策支持，具有一定的學(xué)術(shù)和工程應(yīng)用價(jià)值。
[Abstract]:The logistics system of coal wharf is a complex dynamic system, there are many uncertain factors affecting its effectiveness, and its mechanism is an engineering problem. It is also an academic problem. This paper, guided by complex system science, systematically analyzes the complexity of the output coal wharf logistics system. Based on the queuing network theory, the steady state mathematical model of terminal logistics system is established, and the related influencing factors and its action mechanism on steady state are analyzed. By using system simulation technology, the simulation model of complex factors and wharf passing capacity is built, and the relationship between complex factors and wharf productivity is studied quantitatively, and remarkable results are obtained. 1) using the modern complex system science theory, this paper puts forward the concepts of static complexity and dynamic complexity of the logistics system of coal wharf, and analyzes the complex factors of the logistics system of the wharf. On the basis of deeply studying the theoretical calculation method of wharf capacity, the key factors affecting the production efficiency of wharf logistics system are summarized. 2) based on the queuing network theory, this paper reveals that the output-type coal wharf logistics system has the dual characteristics of Jackson and Fork-Join queuing network, and establishes the steady state model of the terminal logistics system. By means of sensitivity analysis, the sensitivity of relevant factors to steady-state performance index is explored. It is found that the queue length and waiting time of ship or train are most sensitive to the change of relative factors in steady state. 3) by using the idea of object-oriented modeling, the object-oriented analysis of the logistics system of coal wharf is carried out, and the object class of the system is determined. According to the actual operation of a large wharf and with the help of system simulation technology, the simulation model of coal wharf logistics system for complex factors is established on the Simio simulation test platform for the first time. Compared with the actual data, the feasibility and applicability of the model are verified. 4) aiming at the established simulation model, the simulation tests are designed for some complicated factors, such as the arrival interval of train (ship), the stacking strategy, the quantity of equipment and the technical parameters, etc. The sensitivity of the simulation data is analyzed, and the relationship between the complex factors and the production efficiency of the wharf is studied quantitatively. The causality diagram of the correlation factors and the passing capacity of the wharf is drawn for the first time, and the dynamic mechanism of the complex factors is revealed. The research results of this paper are directly oriented to engineering practice, which is conducive to the excavation of system bottlenecks, and provides theoretical basis and decision support for the planning and design of wharves and production and operation management. It has certain academic and engineering application value.
【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】：2014
【分類號(hào)】：U691

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