Air cargo booking management considering the network effect / 考量網路效應的航空貨運訂艙控管決策

碩士 / 國立交通大學 / 管理學院運輸物流學程 / 99 / Due to world trade liberalization and global supply chain, air cargo industry has been booming for the past several decades. The growth rate of air cargo has surpassed that of air passengers, and recent forecasts are projecting for this to continue in the future. Since American Airlines’ successful implementation, revenue management (RM) has become a common practice for air passenger business. However, the application of RM to the air cargo industry is still at an early stage. Therefore, this study is aiming to apply RM to the management and daily operations of air cargo industry, for the airlines to fully utilize the limited cargo space and increase cargo revenue.
With current hub-and-spoke operation of airlines, the focus of the RM research has shifted from the traditional single-leg version to multi-sector one considering the network effect. Based on former studies, this study develops a static programming model considering network effect and takes the two key dimensions of air cargo, weight and volume, into account. Moreover, this study verifies the model by performing the numerical test for both static and dynamic model validation, and evaluates the benefits based on the actual operational date.
The result in the static numerical experiment, the minimum booking acceptance rate, is a good decision support for airline cargo space controller to manage the valuable resource. Besides, it is found that RM shows an average of 6~15% revenue improvement compared with current human judgment in dynamic numerical experiment. It is believed that this study should serve as a good solution for airlines to well-manage the cargo booking and space control, and then to improving cargo loading and increase cargo revenue.

Identiferoai:union.ndltd.org:TW/099NCTU5725021
Date January 2011
CreatorsChen, Hsin-Yuan, 陳信元
ContributorsHuang, Kuan-Cheng, 黃寬丞
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format36

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