完整后设资料纪录
DC 栏位 | 值 | 语言 |
---|---|---|
dc.contributor.author | 许文秀 | en_US |
dc.contributor.author | Wen-Hsiu Hsu | en_US |
dc.contributor.author | 黄宽丞 | en_US |
dc.contributor.author | Kuan-Cheng Huang | en_US |
dc.date.accessioned | 2014-12-12T02:10:48Z | - |
dc.date.available | 2014-12-12T02:10:48Z | - |
dc.date.issued | 2003 | en_US |
dc.identifier.uri | http://140.113.39.130/cdrfb3/record/nctu/#GT009132517 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/57002 | - |
dc.description.abstract | 在国际贸易自由化与全球供应链的发展下,航空货运在过去数十年蓬勃发展,尤其在经过美国911事件与SARS风暴后,目前航空货运之成长幅度已超越航空客运之成长。此外,自从美国航空公司利用营收管理成功地提高营收后,营收管理于航空客运业已是一项十分普及的技术。有鉴于此,本研究希望能将营收管理应用于航空货运的舱位规划上,将有限的舱位妥善使用,以增加航空公司的期望总收益。 由于航空货运的舱位容量往往会受到多种因素之影响,如航线及气候等,其供给量并不确定,同时必须处理因而衍生的货物被拒登机情况。此外,基于航空货运需求的特性,必须采用适当的随机序程来模拟订位需求,以求接近航空货运业的真实状况。故本研究以既有研究为基础,建立航空货运业舱位之动态规划模式,使航空公司在面临需求与供给双方面之不确定性时,仍能够经由有效地进行舱位控管配置,达成总收益最大化的目标。 本研究依据台湾地区某航空公司的实际营运与作业资料,对模式进行实例的验证,并就模式中的二项重要因素“供给不确定性”与“被拒登机补偿”进行敏感度分析。由敏感度分析结果发现,当供给相对稳定时,被拒登机补偿的提高对于期望总收益之影响有限,但当赔偿倍数固定时,供给不确定性的增加对于期望总收益的影响极为显着。因此,航空公司若欲透过营收管理提高其总收益,应从有效地掌握各航班的舱位供给量开始。 | zh_TW |
dc.description.abstract | Due to world trade liberalization and global supply chain, air cargo industry has been booming for the past several decades. Particularly, after the 911 tragedy and the outbreak of SARS, the growth rate of air cargo has surpassed that of air passengers. On the other hand, since American Airlines successfully applied revenue management to raise its profit, revenue management has become a common technique in air passenger business. Therefore, this study is aiming to apply the revenue management concept to the planning and control of air cargo space, so the airlines can fully utilize the limited cargo space to increase the expected revenue. However, due to the factors such as route assignment and weather condition of air routes, the supply of air cargo space of a specific flight is uncertain. Meanwhile, denied boarding problems caused by supply uncertainty needs to be addressed carefully. Moreover, to take the real situations into consideration, it is very important to apply an appropriate random process to model the special characteristics of air cargo demand. Based on former studies, this study develops a dynamic programming model to assist the airlines to cope with the uncertainty arising from both the demand side and the supply side. Thus, the airlines can achieve the goal of profit maximization by effective planning and control over the limited cargo space. According to the numerical examples base on the actual operation data of a Taiwan’s international airline, this study verifies the model and performs the sensitivity analysis for two important factors, supply uncertainty and compensation for denied boarding. The sensitivity analysis shows that when supply is quite stable, the expected revenue caused by the increase of the compensation for denied boarding is very limited. However, when the compensation is fixed, the expected revenue is significantly influenced by the increase of supply uncertainty. Therefore, if Airlines want to improve their total revenue, they should start with controlling the capacity of each flight effectively. | en_US |
dc.language.iso | zh_TW | en_US |
dc.subject | 航空货运 | zh_TW |
dc.subject | 营收管理 | zh_TW |
dc.subject | 动态规划 | zh_TW |
dc.subject | 供给不确定性 | zh_TW |
dc.subject | Air Cargo | en_US |
dc.subject | Revenue Management | en_US |
dc.subject | Dynamic Programming | en_US |
dc.subject | Supply Uncertainty | en_US |
dc.title | 考虑供给不确定性之航空货运营收管理 | zh_TW |
dc.title | Revenue Management for Air Cargo Space with Supply Uncertainty | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | 运输与物流管理学系 | zh_TW |
显示于类别: | Thesis |
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