A Simulator To Estimate The Cancellations In YM
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : P.K.Suri , Rakesh Kumar , Pardeep Kumar Mittal|
P.K.Suri , Rakesh Kumar , Pardeep Kumar Mittal. "A Simulator To Estimate The Cancellations In YM". International Journal of Engineering Trends and Technology (IJETT). V5(2):66-69 Nov 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
In case of Yield Management (YM), even if the yield is optimized using some technique, it is not guaranteed that the final revenue obtained will be maximum or optimized. Since in almost all the industries where YM can be implemented, some of the customers may either cancel their seats or some customers do not show-up even after their booking. These cases needs to be taken care of as lot of revenue loss may occur due to these cancellations or no-shows. This paper tries to estimate the cancellations via a simulator using GA in an airline YM. The simulator has been developed using MATLAB.
 Stephen Shaw, Airline marketing and Management, fifth edition, Ashgate publishing Limited, 2004.
 Subramanian, J., Stidham, S., and Lautenbacher, C. (1999), Airline yield management with overbooking, cancellations, and no-shows, Transportation Science, 33:147–167.
 Lippman, S. A. and Stidham, S. (1977), Individual versus social optimization in exponential congestion systems, Operations Research, 25:233–247.
 Srinivas S. Pulugurtha & Shashi S. Nambisan, “A Decision-Support Tool for Airline Yield Management Using Genetic Algorithm”, Computer Aided Civil and Infrastructure Engineering, 2003, 214-233.
 Feng, Y., Lin, P., and Xiao, B. (2002), An analysis of airline seat control with cancellations, In Yao,D. D. and H. Zhang, X. Y. Z., editors, Stochastic Modeling and Optimization, with Applications in Queues, Finance, and Supply Chains. Springer-Verlag, Berlin.
 C. Hueglin and F. Vannotti. Data mining techniques to improve forecast accuracy in airline business. Proc The Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 438–442, 2001.
 H-U. Kalka and K. Weber. PNR-based no-show forecast. Presentation at 2000 AGIFORS meeting, New York, NY, 2000.
 H. Feyen and C. Hueglin. Data mining techniques to improve forecast accuracy in airline business. Presentation at 2001 AGIFORS meeting, Bangkok, Thailand.
 D. Selby. Materialisation forecasting: a data mining perspective. Operations Research in Space and Air, 393–406, Kluwer Academic Publishers, Boston, 2003.
 Mittal, Pardeep Kumar, Kumar Rakesh, Suri, P.K., “Genetic Simulator for Airline Yield Management”, International Journal of Engineering Research & Technology(IJERT), ISSN 2278-0181, Vol3. Issue 9, September, 2013, pp. 2379-2386
Advance Reservation, Cancellations, Genetic Algorithm, No-shows, Yield Management