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題名:定期航運艙位超賣模式之研究
書刊名:運輸計劃
作者:李際偉 引用關係昝延慶
作者(外文):Li, Vincent C.Tsan, Yen-ching
出版日期:2010
卷期:39:3
頁次:頁277-300
主題關鍵詞:定期航運艙位分配收益管理超賣策略空櫃調度Liner shippingSlot allocationRevenue managementOverbooking strategyEmpty container reposition
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定期航運業常因顧客臨時取消貨櫃運送或是減少艙位需求,造成空艙之損失。艙位是不可儲存之商品,船公司可運用收益管理之超賣策略,求取適當的超賣數量,將艙位做更有效的分配利用而提升利潤。再者,由於國際貨櫃流量之不平衡,船公司必須做好空櫃調度,以降低因貨櫃流量不平衡所帶來之龐大成本負擔。本文以銷售艙位之數量為著眼點,探討定期航運艙位超賣下單一航線之艙位分配模式,在考量各港口有其獨立之離散型顧客到達率情形下,提供船公司一套系統化的方式,藉以決定單一航次之艙位銷售數量以及空櫃調度,求取最大化利潤。經由案例顯示具超賣策略之模型,可帶給船公司更高之期望利潤,且其影響隨著顧客到達率之不確定性增高而更為顯著。
The liner shipping industry often suffers from no-shows and cancelations that make some container slots empty for a voyage. Container slots are perishable assets and can not be stored for the next voyage. A liner shipping company can enhance the slot utilization and reduce unused capacity by properly adopting the overbooking strategy, an important element of revenue management. On the other hand, due to the unbalanced container flow caused by the international trade pattern, a liner shipping company has to reposition the containers efficiently and effectively to satisfy the container need while trimming the reposition cost. In this paper we discuss slot allocation on a single route by considering slot overbooking. By assuming a discrete customer show-up rate at each port, we propose a systematic approach to determine the amount to sell and the way to reposition empty containers so as to maximize the profit of the liner shipping company. We use a numerical example to show that the proposed overbooking model can increase the expected profit of the company. Moreover the influence of adopting overbooking becomes more pronounced when the uncertainty of the customer show-up rate increases.
期刊論文
1.Cheung, R. K. and Chen, C. Y.,(1998)。“A Two-Stage Stochastic Network Model and Solution Methods for the Dynamic Empty Container Allocation Problem”。Transportation Science,vol. 32,no. 2,142-162。  new window
2.Ting, S. C.、Tzeng, G. H.(2004)。“An Optimal Containership Slot Allocation for Liner Shipping Revenue Management”。Maritime Policy and Management,31(3),199-211。  new window
3.McGill, J. I.、Van Ryzin, G. J.(1999)。Revenue Management: Research Overview and Prospects。Transportation Science,33(2),233-256。  new window
4.Kasilingam, R. G.(1996)。Air Cargo Revenue Management: Characteristics and Complexities。European Journal of Operational Research,96,36-44。  new window
5.Littlewood, K.(2005)。“Special Issue Papers: Forecasting and Control of Passenger Bookings”。Journal of Revenue and Pricing Management,vol. 4,no. 2,111-123。  new window
6.Weatherford, L. R. and Bodily, S. E.(1992)。“A Taxonomy and Research Overview of Perishable-Asset Revenue Management: Yield Management, Overbooking, and Pricing”。Operations Research,vol. 40,no. 5,831-844。  new window
7.Kleywegt, A. J.(2002)。“New Approaches for Contract Planning and Booking Control for Container Carriers”。Asia-Pacific First TLI-APNTNU Workshop on Multimodal Logistics, The Logistics Institute。  new window
8.Lee, L. H., Chew, E. P., and Sim, M. S.,(2009)。“A Revenue Management Model for Sea Cargo”。International Journal of Operational Research,vol. 6,no. 2,195-222。  new window
9.Feng, C. M.、Chang, C. H.(2008)。“Optimal Slot Allocation in Intra-Asia Service for Liner Shipping Companies”。Maritime Economics and Logistics,10(3),295-309。  new window
10.Wang, B.、Wang, Z.(2007)。“Research on the Optimization of Intermodal Empty Container Reposition of Land-Carriage”。Journal of Transportation Systems Engineering and Information Technology,7(3),29-33。  new window
11.Crainic, T., Gendreau, M., and Dejax, P.,(1993)。“Dynamic and Stochastic Models for the Allocation of Empty Containers”。Operations Research,vol. 41,no. 1,102-126。  new window
12.Ang, J. S. K., Cao, C. X., and Ye, H. Q.(2007)。“Model and Algorithms for Multi-Period Sea Cargo Mix Problem”。European Journal of Operational Research,vol. 180,no. 3,1381-1393。  new window
13.Rothstein, M.(1985)。“OR and the Airline Overbooking Problem”。Operations Research,vol. 33,no. 2,237-248。  new window
14.Bartodziej, P., Derigs, U., and Zils, M.,(2007)。“O &D Revenue Management in Cargo Airlines-A Mathematical Programming Approach”。OR Spectrum,vol. 29,no. 1,105-121。  new window
15.Popescu, A., Keskinocak, P., Johnson, E., LaDu e, M., and Kasilingam, R. G.,(2006)。“Estimating Air- Cargo Overbooking Based on a Discrete Show-Up-Rate Distribution”。Interfaces,vol. 36,no. 3,248-258。  new window
16.李冰川、武振並與卜祥智(2006)。「能力隨機的海運集裝箱收益管理超訂模式」。西南交通大學學報,41 卷,第 4 期,501-506。  延伸查詢new window
會議論文
1.Littlewood, K.(1972)。“Forecasting and Control of Passenger Bookings”vol. 12,pp. 95-117。  new window
2.Li, B.(2008)。“A Stochastic Model for Dynamic Capacity Allocation of Container Shipping Two- Dimensional Revenue Management”1-7。  new window
學位論文
1.丁士展(2003)。「定期航運航線規劃與收益管理之研究」。  延伸查詢new window
2.陳淑芬(2002)。「定期船運空櫃調度之研究-以越太平洋航線為例」。  延伸查詢new window
3.許家瑋(2006)。「定期船運業艙位數量分配及空櫃調度問題之探討」。  延伸查詢new window
圖書
1.Phillips, R. L.(2005)。Pricing and Revenue Optimization。Stanford University Press。  new window
 
 
 
 
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