定期貨櫃船航商於遠洋航線船隊部署決策模式之研究;A Decision-Making Model of The Long-haul Service Fleet Deployment for Liner Container Operators

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題名:	定期貨櫃船航商於遠洋航線船隊部署決策模式之研究;A Decision-Making Model of The Long-haul Service Fleet Deployment for Liner Container Operators
作者:	鄭思筠;Cheng, Szu-Yun
貢獻者:	企業管理學系在職專班
關鍵詞:	定期貨櫃船;船隊部署;整數規劃;Liner Containership;Fleet Deployment;Integer Programming
日期:	2020-05-21
上傳時間:	2020-06-05 17:09:04 (UTC+8)
出版者:	國立中央大學
摘要:	定期航運現今使用貨櫃船為運輸工具，主要載運經加工過的成品或半成品，與我們日常生活中使用的產品息息相關。在船舶大型化且裝載率不變的前提下，船型越大越能達到經濟規模，也因為船舶大型化驅使航運經營模式有所改變，從以往的獨立經營轉變為航運聯盟為主流，因此如何做一妥適的船隊部署，更顯其重要性。貨櫃航運市場之供需與運價是息息相關，運價是航商主要收入來源，其漲跌影響航商利潤甚鉅，並驅使航商去調整船隊部署，目前大多仰賴船隊調度人員師徒制所交接的經驗與工作手冊。本研究建構一套模型計算出投船的最佳解，並選定國內某知名定期貨櫃船航商之歐洲、地中海、美東、美西共四條代表性航線，及常見的四型中、大型船舶共63艘，作為研究之範圍，採用整數規劃的方法，並與現實船隊部署情況交互比對驗證，透過本研究之模組所求出之最佳化組合，利潤較2019年第三季之實際船隊配置多賺1,478,567美元。最後，並輔以油價及運價的敏感度分析，以求得在高度競爭的航運市場中之船隊部署與調度之參考，強化競爭優勢。結果發現油價變化對於船隊部署影響較小，航線運價影響較大。 ;Liner Shipping mainly carries containerized cargo like products or semi-products by containerships. The more cargos a containership can carry on, the more income it can contribute to the operators. Therefore, liner operators tend to construct and/or lease bigger containerships with state-of-the-art technology. As a result, a typical liner operator has to deploy different sizes of fleet as acquired at different times. With different sizes of fleet to be deployed into different routes, how to allocate the containerships to optimize profit becoming a critical issue for liner operators. On the other hand, the ocean freight is determined by the supply and demand of the market. Fluctuations of demand can substantially affect liner operators’ profits. Currently, fleet deployment mainly relies on the personal experience of a handful planners. To facilitate the fleet deployment, this Research proposed a decision model utilizing the technique of integer programming. The model is being applied to simulation data derived from a well-known Taiwanese liner operator. Four main service routes (Europe/Mediterranean/ United States East Coast and West Coast), and a total of its 63 large-to-medium sized ships are deployed with the proposed model. The experiment shows that the fleet deployment suggested by the model can earned extra USD 1,478,567 than the fleet deployment suggested by planner’s human design in the 3rd quarter of 2019. Last but not least, sensitivity analysis on fuel prices and ocean freight is also conducted to verify the robustness of the proposed model. The result showed that freight fluctuation has greater impacts on the fleet deployment than floating on fuel price.
顯示於類別:	[企業管理學系碩士在職專班] 博碩士論文

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