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A Comparison of Admission Controls of Reservation Requests with Callable Products

임의상환가능 상품 도입하의 예약 요청 승인 방법 비교

  • Received : 2019.08.09
  • Accepted : 2019.09.20
  • Published : 2019.09.28

Abstract

A callable product is one of service derivatives using options to generate demand and reduce risk. This paper compares two booking admission controls for callable products, the online and the batch admission controls. To this end, the paper computes the optimal booking policy by using the backward dynamic programming and the stochastic optimization method. Intuitively, the provider should outperform under the batch control by utilizing demand information. The contribution of the paper is to show that the two controls are equivalent in terms of the booking strategy and the expected profit, which enables the provider to keep its current control method. The paper develops the closed-form solutions for the three fare classes. The future work is to extend the result to the model with complicated fare structures.

임의상환가능 상품은 옵션을 이용하여 수요창출과 리스크를 줄이는 서비스 파생상품의 일종이다. 본 논문은 임의상환가능 상품이 도입된 후, 예약 요청의 온라인승인 방법과 일괄승인 방법 둘의 성능을 비교한다. 최적의 예약관리법을 계산하기 위하여, 역행 동적계획법(Backward Dynamic Programming)과 확률적 최적화(Stochastic Optimization) 방법을 이용한다. 직관적으로는 공급자는 수요정보를 이용하여 일괄승인 방법으로 더 높은 수익을 올릴 것으로 예상되지만, 본 논문은 두 예약 요청 승인 방법의 예약관리전략과 수익은 동일하다는 것을 증명함으로써, 현행 예약 요청 승인 방법의 변화 없이 임의상환가능 상품을 빠르게 도입할 수 있다는 실무적인 기여도가 있다. 본 논문은 세 종류의 서비스 요금 클래스가 있을 경우 최적의 해를 정확히 구하였다. 향후 연구는 다양한 요금 모델에서 최적의 해를 구하는 것이다.

Keywords

References

  1. K. T. Talluri & G. van Ryzin. (2005). The Theory and Practice of Revenue Management. New York : Springer.
  2. G. Gallego, S. G. Kou & R. Phillips. (2008). Revenue Management of Callable Products, Management Science, 54, 550-564. https://doi.org/10.1287/mnsc.1070.0782
  3. G. Gallego & H. Lee. (2018, May). Callable Products with Early Exercise and Overbooking, AGIFORS Study Group Meeting. Hong Kong.
  4. S. J. Park & S. I. Kim. (2019). A Study on the User Experience for Airline Ticket Reservation Service -Focusing on Skyscanner App. Journal of the Korea Convergence Society, 10(2), 195-200. https://doi.org/10.15207/JKCS.2019.10.2.195
  5. E. Biyalogorsky, Z. Carmon, G. Fruchter & E. Gerstner. (1999). Over-Selling with Opportunistic Cancellations. Marketing Science, 14, 1-12. https://doi.org/10.1287/mksc.14.1.1
  6. E. Biyalogorsky & E. Gerstner. (2004). Contingent Pricing to Reduce Price Risks. Marketing Science, 23, 146-155. https://doi.org/10.1287/mksc.1030.0030
  7. B. Lardeux, G. Sabatier, T. Delahaye, M. Boudia, O. Tonnet & P. Mathieu. (2019). Yield Optimization for Airlines from Ticket Resell. Journal of Revenue and Pricing Management, 18(3), 213-227. https://doi.org/10.1057/s41272-018-00167-1
  8. F. Chen. (2001). Market Segmentation, Advanced Demand Information, and Supply Chain Performance. Manufacturing & Service Operations Management, 3, 53-67. https://doi.org/10.1287/msom.3.1.53.9993
  9. G. Gallego & O, Ozer. (2001). Integrating Replenishment Decisions with Advance Demand Information, Management Science, 47, 1344-1360. https://doi.org/10.1287/mnsc.47.10.1344.10261
  10. O. Ozer. (2003). Replenishment Strategies for Distribution Systems under Advance Demand Information. Management Science, 49, 255-272. https://doi.org/10.1287/mnsc.49.3.255.12738
  11. O. Ozer & W. Wei. (2006). Strategic Commiments for an Optimal Capacity Decision under Asymmetric Forecast Information. Management Science, 52, 1238-1257. https://doi.org/10.1287/mnsc.1060.0521
  12. T. Boyaci & O. Ozer. (2010). Information Acquisition for Capacity Planning via Pricing and Advance Selling: When to Stop and Act?. Operations Research, 58, 1328-1349. https://doi.org/10.1287/opre.1100.0798
  13. G. Gallego & C. Stefanescu. (2012). Service Engineering : Design and Pricing of Service Features. O. Ozer, R. Phillips eds. The Oxford Handbook of Pricing Management, Oxford, UK : Oxford University Press.
  14. H. Lee, W. T. Huh, Y. Sun & C. R. Dance. (2015). Auctions in the Post-Change-Order Period. Naval Research Logistics, 62, 248-265. https://doi.org/10.1002/nav.21626
  15. S. H. Kim & D. M. Lee. (2018). A Study on the Ways for Differentiation of Domestic Car Sharing Service. Journal of the Korea Convergence Society, 9(3), 181-186. https://doi.org/10.15207/JKCS.2018.9.3.181
  16. P. Sainam, S. Balasubramanian & B. Bayus. (2010). Consumer Options : Theory and an Emperical Application to a Sprts Market. Journal of Marketing Research, 47, 401-414. https://doi.org/10.1509/jmkr.47.3.401
  17. S. Balseiro, G. Gallego, C. Gocmen & R. Phillips. (2011). Revenue Management of Consumer Options for Sporting Events. Technical Report, New York : Columbia Unersity.