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A Robust Reservation Control on a Single-Leg Flight with an Internet Distribution Channel

发布日期:2014-12-30

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主讲人 时间
地点

Feng, Youyi

"Associate Professor Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong, Shatin, Hong Kong "

【主题】Structural Modeling of Time Series

【时间】 2005-11-28上午10:30

【地点】经管学院伟伦楼南431

【语言】中文/英文

【内容摘要】

Internet-enabled distribution channels have created new opportunities and challenges to service providers such as hotels and airlines. However, online agencies often require that the rate of plane seats or hotel rooms be notified much earlier, and the web-site visitors ordinarily are unwilling to reveal direct information. Therefore the electronic revenue loss becomes serious because of inaccurate price and demand match. To keep revenue growing healthily, revenue managers are apt to demand information from these newly established channels as well as to price adjustment. Traditional revenue management analysis that was built on perfect customer information are no longer workable when input data are erroneous. Thus, we are motivated to consider a risk sensitive utility criterion for reservation control on a single-leg flight with online distribution channels. We develop an approach of escalating confidence on the precision of forecast and upgrading both demand learning and price adjustment effectively. We show that the approach will ultimately keep estimate errors under control and increase revenue stably and robustly.

【主讲人简介】

Youyi Feng received his B.S degree and M.S degree in Mathematics from Nanjing university in 1982 and 1985 respectively, and his M.S. degree in Industrial Engineering and Ph.D. degree in Operation Research from Columbia university in 1993 and 1994 respectively. During 1995-2000, he was an assistant professor in the Department of Information Systems at the National University of Singapore. Before he joined the Chinese Universiy of Hong Kong as associate professor in 2001, he had held visiting professor positions at the Kyushu Institute of Technology and Northwestern University. Professor Feng had also worked as a research manager in Enron North America and a financial analyst in Baring Securities Inc. and Lasser Marshall Inc.

Research Interests

•Electronic Commerce

•Dynamic Pricing and On-line Auction

•Supply Chain Management

•Finance Engineering

•Service Management

•Revenue Management

•Stochastic Processes and Models

•Production Optimal Control

•Risk and Revenue Management on Energy Industry

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