本文選題：散貨碼頭 + 物流運作系統(tǒng)�。� 參考：《大連海事大學(xué)》2014年碩士論文

【摘要】：國內(nèi)各港口的競爭日趨激烈,港口經(jīng)營者面臨著各種挑戰(zhàn)。為了提升自身的競爭力,需要對港口碼頭運作過程中設(shè)施設(shè)備管理、作業(yè)資源調(diào)度等問題進行持續(xù)的改善。本文分析典型干散貨碼頭的作業(yè)系統(tǒng),針對散貨堆場垛位管理、堆取料機調(diào)度等問題,基于多目標(biāo)規(guī)劃、分層賦時有色Petri網(wǎng)建模、CPN-Tools仿真技術(shù)等,對其物流運作系統(tǒng)進行仿真和優(yōu)化,為碼頭經(jīng)營管理提供有效的支持。主要內(nèi)容有如下： 針對干散貨碼頭堆場空間劃分和垛位選擇問題,以提高堆場利用率為目標(biāo)建立了垛位優(yōu)化準(zhǔn)則,結(jié)合層次分析和多目標(biāo)規(guī)劃理論提出一種新型的堆場垛位選擇方法,給出各物料選擇最優(yōu)垛位的步驟方案。 碼頭作業(yè)機械調(diào)度是調(diào)度理論在碼頭生產(chǎn)中的應(yīng)用,由于散貨碼頭堆取料機使用頻次高,其調(diào)度問題是決定堆場物流系統(tǒng)作業(yè)能力的潛在瓶頸。針對“堆取合一”裝卸工藝布局下,堆取料機的作業(yè)調(diào)度具有雙邊平行作業(yè)的特點,按照堆取料機在堆存區(qū)域行走路徑最短和設(shè)備利用率最高為目標(biāo),根據(jù)生產(chǎn)作業(yè)計劃、堆取料機及料堆位置,建立堆取料機作業(yè)多目標(biāo)優(yōu)化模型,提出一種基于層次分析法和線性規(guī)劃的堆取料機作業(yè)優(yōu)化方案。 散貨碼頭物流系統(tǒng)是既有離散性又有連續(xù)性的混合動態(tài)系統(tǒng),研究中多采用建模仿真的方法。首先,結(jié)合散貨碼頭的特點建立系統(tǒng)的Petri網(wǎng)動態(tài)模型,對設(shè)備資源配置進行分析,再使用CPN Tools仿真工具軟件對系統(tǒng)運作過程進行仿真,并針對堆場管理提出散貨碼頭物流運作的優(yōu)化策略。 以防城港作為實證研究對象,對其散貨碼頭物流運作過程進行仿真,結(jié)合堆場管理策略、堆取料機調(diào)度策略,驗證各策略下系統(tǒng)的最大通過能力和運作效率的差異。驗證各優(yōu)化策略的適用行,為碼頭運營管理提供支持。
[Abstract]:The competition of domestic ports is becoming increasingly fierce, port operators are facing various challenges. In order to enhance the competitiveness of the port and wharf, it is necessary to continuously improve the facilities and equipment management and the operational resource scheduling during the operation of the port and wharf. In this paper, the operation system of typical dry bulk wharf is analyzed. Aiming at the problems of stacking position management in bulk yard and the scheduling of stacker, based on multi-objective programming, modeling and simulation technology of CPN-Tools based on layered timed colored Petri net, etc. The logistics operation system is simulated and optimized to provide effective support for wharf management. The main elements are as follows: Aiming at the problem of space division and stacking position selection of dry bulk cargo wharf, the optimization criterion of stacking position is established with the aim of improving the utilization ratio of yard. A new method for selecting stacking position is proposed based on the theory of hierarchical analysis and multi-objective programming. The steps of selecting the optimal stacking position for each material are given. The scheduling of wharf operation machinery is the application of scheduling theory in wharf production. Due to the high frequency of bulk cargo terminal stacker, the scheduling problem is the potential bottleneck to determine the operation capacity of the yard logistics system. In view of the layout of stacks and fetches, the operation scheduling of stacker has the characteristics of two-sided parallel operation. According to the objectives of the shortest path and the highest utilization ratio of the stacker in the storage area, according to the production operation plan, The multiobjective optimization model of stacker operation is established, and an optimization scheme based on AHP and linear programming is proposed. Bulk terminal logistics system is a discrete and continuous hybrid dynamic system. Modeling and simulation methods are often used in the research. First of all, the dynamic model of Petri net is established according to the characteristics of bulk cargo terminal, and the equipment resource allocation is analyzed, and then the operation process of the system is simulated by using the CPN Tools simulation tool software. The optimization strategy of bulk terminal logistics operation is put forward for yard management. Taking Fangchenggang as an empirical research object, this paper simulates the logistics operation process of bulk cargo wharf, and verifies the difference of the maximum throughput and operation efficiency of the system under each strategy by combining the management strategy of the yard and the scheduling strategy of the stacker. Verify the application of each optimization strategy to provide support for terminal operation and management.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U695.2

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