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시뮬레이션을 통한 항공화물 네트워크 수익관리 모형 성능 평가

A Simulation Study on the Performances of Revenue Management Models for an Air Cargo Network

  • 이광렬 (고려대학교 정보경영공학전문대학원) ;
  • 윤수정 (고려대학교 정보경영공학전문대학원) ;
  • 이철웅 (고려대학교 정보경영공학전문대학원)
  • 투고 : 2008.12.08
  • 심사 : 2009.02.21
  • 발행 : 2009.03.31

초록

본 연구에서는 개발된 이산 사건 시뮬레이션 모델을 바탕으로 우리나라와 지리적으로 가장 가까운 환발해권 지역에서 발생하는 대내외적인 항공화물에 대하여 구간별 물동량을 분석하고 수익관리 모형에 따른 수익 변화를 평가하였다. 첫 번째로, 인천 공항을 경유하는 노선에 대하여 비드가격 모형을 적용하여 물동량과 수익의 변화를 확인하였다. 두 번째로, 모든 노선에 대하여 비드가격 모형을 적용하여 분석하였다. 세 번째로, 인천공항을 경유하는 노선에 대하여 비드가격 모형과 가상네스팅 모형을 적용하였다. 그 결과 수익관리 모형을 적용할 경우, 단일가격으로 제공하는 오늘날의 시장 환경보다 전체 수익이 증가하는 것을 확인 할 수 있었다. 이러한 분석은 향후 항공사의 마케팅 전략 수립에 활용될 것으로 기대해 본다.

A discrete event simulation model is developed to evaluate the performances of three different revenue management methods for an air cargo network from Northeast China to North America and Europe. In the first method, a bid price model is applied only to the routes that pass through Incheon. In the second method, the bid price model is applied to all the routes. In third method, bid price and virtual nesting models are applied to the routes that pass through Incheon. The results show that the total revenue significantly increases with the employment of pricing and capacity control. The developed simulation model is a useful research tool to study marketing strategies for air cargo operations.

키워드

참고문헌

  1. 김태승, 원동욱, 윤정원 (2006), "환황해권 Sea&Air 수송의 발전 가능성", 전망한국항만경제학회지, 제 22권, 제 3호, pp. 189-207.
  2. 윤문길, 이희영 (2005), "항공사 수익경영모형에 관한 조사연구", 한국경영과학회지, 제 30권, 제 2호, pp. 41-61.
  3. 임종길, 허문구 (2008), 물류산업총람 (Korea Logistics Business Directory), (주)물류신문사, pp. 69-96.
  4. Alstrup, J., Andersson, S. E., Boas, S., Madsen, O. B. G. (1989), "Booking Control Increases Profit at Scandinavian Airlines", Interfaces, Vol. 19, pp. 10-19.
  5. Belobaba, P. P. (1987), "Airline Yield management: An Overview of Seat Inventory Control", Transportation Science, Vol. 21, No. 2, pp. 63-73. https://doi.org/10.1287/trsc.21.2.63
  6. Belobaba, P. P., Wison, J. L. (1997), "Impacts of Yield Management in Competitive Airline Markets", Journal of Air Transport Management, Vol. 3, No. 1, pp. 3-9. https://doi.org/10.1016/S0969-6997(97)82787-1
  7. Bodily, S. E., Weatherford, L. R. (1995), "Perishable Asset Revenue Management : Generic and Multiple-Price Yield Management with Diversion", Omega, Vol. 23, No. 2, pp. 173-185. https://doi.org/10.1016/0305-0483(94)00063-G
  8. Brumelle, S. L., McGill, J. I. (1993), "Airline Seat Allocation with Multiple Nested Fare Classes", Operations Research, Vol. 41, No. 1, pp. 127-137. https://doi.org/10.1287/opre.41.1.127
  9. Curry, R. E. (1990), "Optimal Airline Seat Allocation with Fare Classes Nested by Origins and Destinations", Transportation Science, Vol. 24, pp. 193-204. https://doi.org/10.1287/trsc.24.3.193
  10. Humphreys, B. K. (1994), "Application to Air Transportation and Other Service Industries, Yield Managemen", Les Press.
  11. Kasilingam, R. G. (1996), "Air Cargo Revenue Management : Characteristics and Complexities", European Journal of Operational Research, Vol. 96, pp. 36-44. https://doi.org/10.1016/0377-2217(95)00329-0
  12. Lee, T. C., Hersh, M. (1993), "A Model for Dynamic Airline Seat Inventory Control with Multiple Seat Bookings", Transportation Science, Vol. 27, pp. 252-265. https://doi.org/10.1287/trsc.27.3.252
  13. Littlewood, K. (1972), "Forecasting and Control of Passenger Booking", In Proceedings of the Twelfth Annual AGIFORS Symposium, Nathanya, Israel.
  14. McGill, J. I., Ryzin, G. J. (1999), "Revenue Management: Research Overview and Prospects", Transportation Science, Vol. 33, No. 2, pp. 233-256. https://doi.org/10.1287/trsc.33.2.233
  15. Pfeifer, P. E. (1989), "The Airline Discount Fare Allocation Problem", Decision Science, Vol. 20, pp. 149-157. https://doi.org/10.1111/j.1540-5915.1989.tb01403.x
  16. Robinson, L. W. (1995), "Optimal and Approximate Control Policies for Airline Booking with Sequential Nonmonotonic Fare Classes", Operations Research, Vol. 43, No. 2, pp. 252-263. https://doi.org/10.1287/opre.43.2.252
  17. Ryzin, G. V., Vulcano, G. (2006), "Simulation Based Optimization of Virtual Nesting Control for Network Revenue Management", Operations Research, Vol. 56, No. 4, pp.865-880. https://doi.org/10.1287/opre.1080.0550
  18. Simpson, R. W., Using Network Flow Techniques to Find Shadow Prices for Market and Seat Inventory Control. MIT, Cambridge, MA, 1989.
  19. Smith, B. C., Leimkuhler, J., Darrow, R. (1992), "Yield Management at American Airlines", Interface, Vol. 22, No. 1, pp. 8-31. https://doi.org/10.1287/inte.22.1.8
  20. Subramanian, J., Stidham, S., and Lautenbacher, C., (1999), "Airline Yield Management with Overbooking, Cancellations and No-shows", Transportation Science, Vol. 33, No. 2, pp. 147-167. https://doi.org/10.1287/trsc.33.2.147
  21. Talluri, K. T., Ryzin, G. V. (1998), "An Analysis of Bid-price Controls for Network Revenue Management", Management Science, Vol. 44, No. 11, pp. 1577-1593. https://doi.org/10.1287/mnsc.44.11.1577
  22. Talluri. K. T., Ryzin. G. V. (2004), The Theory and Practice of Revenue Management, Springer, New York.
  23. Vinod, B. (1995), Origin and Destination Yield Management, McGraw-Hill, pp. 459-468.
  24. Williamson, E. L. (1992), Airline Network Seat Control, Ph.D Thesis, MIT, pp. 10-137.
  25. Wollmer, R. D. (1992), "An Airline Seat Management Model for a Single Leg Route when Lower Fare Classes Book First", Operations Research, Vol. 40, No. 1, pp. 26-37. https://doi.org/10.1287/opre.40.1.26