Kasilingam航空貨運收益管理模式之研究

Abstract

In Taiwan, much research has been done on assessing what kinds of transportation modes should be used by company or on analyzing efficient competitive strategies to air cargo forwarders and warehousing company, littlework has been done on revenue management about air cargo. In response to this, this research focus on revenue management of air cargo business from airlines who both have passengers and cargo business. In this study, we formulate firms' overbooking model that has two different objective functions: one is minimizing expected value of total cost,the other is maximizing expected value of net revenue. We define cargo available capacity of aircraft and cargo show-up rate as random variables, and assume average fare, spoilage cost, and oversale cost. We use FORTRAN and MATHEMATICA to solve overbooking level. Besides assuming probability distribution of cargo available capacity and cargo show-up rate, we also have collected some available data to decide overbooking level on different type of aircraft or flight line. Then, we design a sensitivity analysis on our practical case. From the sensitivity analysis results, we have a conclusion that spoilage cost has greater impact on objectivefunction than oversale cost oes. As spoilage (or oversale) cost increases, expected value of total costwill increase, but overbooking level will increase (decrease).In the aspect of random variables, if parameters of these two random variables has the same rate of change, mean of random variable has great impact on change of overbooking or of objective function than standard deviation of them does. For means, mean of cargo show-up rate has greater impact on overbooking level and objective function. No matter on overbooking level or objective function, cargo show-up rate is much effected than cargo capacity is. We can conclude that air cargo demand has greater impact on airline's revenue management.