- 學位論文
智慧型港口內拖車指派問題之研究
An Assignment Method for the Trailer Routing in Smart Ports
摘要
隨著科技蓬勃發展，大數據時代來臨，港口智慧化成為必然之趨勢。除了硬體設備的汰換更新，管理營運模式也應轉型以因應智慧型港口帶來的改變，因此本研究透過文獻整理探討智慧型港口與傳統港口之差異，並在後續研究中參考實務資料，建立模擬智慧型港口之環境。本研究以台灣基隆港為例，考量在半自動化貨櫃儲運場區之環境下，如何利用即時資訊指派場內拖車，降低場內拖車在貨櫃儲運場內的總行駛時間與停等時間，以達成智慧型港口提升營運效率的目標。 本研究發展在智慧型港口下貨櫃儲運場內之拖車指派模式，先以數學指派模型表示問題，再應用貪婪演算法(Greedy Heuristics)，提出模擬應用即時資訊之智慧指派模式，解決實務規模較大之場內拖車指派問題。並為了貼近實務指派現況，本研究以先到先服務(First Come First Serve, FCFS)為概念的目前指派。最後，建置情境模擬以模擬實務情境，進而分析兩種指派模式之差異性。
並列摘要
With the rapid development of science and technology, the smart port has become an inevitable trend. In addition to the replacement of hardware devices, the operation model should be transformed. The study not only reviews literatures to explore the difference between the smart port and the traditional port but establishes an environment to simulates the smart port. In a case study of Taiwan's Keelung Port, the study considers how to use real-time information to assign trailers in the semi-automatic container terminal. In order to improve the efficiency of the smart ports, the method minimizes the total traveling time and waiting time of trailers. The study proposes an assignment method for the trailer routing in smart ports. The mathematical model is used to express the problem, and the Greedy Heuristics Algorithm is applied to the smart assignment mode. To get close to the current assignment situation, the study proposes the current assignment mode based on the concept of First Come First Service. Finally, scenario simulation is built to simulate the current situation, and analyzing the differences between the two assignment modes that the study proposes.
參考文獻
延伸閱讀
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