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Revenue Management problems have been studied widely and actively in airlines for many decades, especially focusing on a seat assignment problem, a booking control problem and a dynamic pricing problem. Traditionally, most of seat revenue management problems in airlines have focused on the seat assignment and booking control for one-way flight. However, most booking requests for air travel are occurred a round-trip basis. In the traditional model, the round trip itinerary was divided into two one-way itineraries independently and the seat assignment problem based on the each itinerary demand has been studied individually. The traditional RM approach is no longer suitable for managing seat assignments and booking controls on round trip itineraries. Furthermore, it is common to travel in small groups rather than individuals, and airlines may consider offering discount fares (quantity discount fares) for such groups which can be found in many retail shopping and recognized to induce more demand. In this paper, we deal with the itinerary based revenue management problem focusing on the seat assignment and booking control with quantity discount fares. Our problem has not been studied effectively in the previous researches. We will suggest an optimization model and a greedy-type heuristic to determine the seat assignment for our complex problem. Based on the seat assignment solution, we will also suggest an effective booking control method to decide the acceptance or the rejection for a seat request. Even though the seat assignment model can be modeled as a probabilistic Integer programming model, we show it can be transformed to the simple Integer programming model by applying Linear Approximation technique. For itinerary-based booking control, we also suggest an effective mixed nesting control method. As a result of the simulation, we can find that our methods make more revenue gains (2.2%~5.1%) compared to the modified traditional ones. Expecially, when the demand is relatively high, the revenue gain is larger. In this study, we suggest some effective approach to solve the problem of seat assignment and booking allocation for itinerary-based demand with small groups, which has not been considered effectively so far. To enhance the applicability of our model in practice, it needs to develop more comprehensive models including diversions, no-shows and behavioral factors in air travelers.

권호기사

권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 목차
주택가격 급등 시 주택연금 가입자의 최적 대응 전략 = Optimal response strategies for reverse mortgage loan subscribers in times of housing price surge 양재환, 여윤경 p. 1-22
COVID-19 시기 관광지 재방문의도에 관한 연구 : Revisit intention to tourist attraction during COVID-19 : focusing on Jeju Island tourism / 제주도 관광을 중심으로 유영준, 김준환, 남승주, 김진기 p. 23-41
팀원이 갖는 인지 스타일 다양성이 팀 창의성에 미치는 영향에 관한 종단 분석 연구 : A longitudinal study investigating how individual team member's cognitive style diversity influences on team creativity : emphasis on fuzzy agent-based modeling / 퍼지 에이전트 모델링 기법을 중심으로 김민경, 이건창 p. 43-65
수량할인을 포함하는 여정기반의 항공사 수익경영 문제 = Itinerary based revenue management problem with quantity discount in airlines 윤문길, 이휘영 p. 67-81

수직적 차별화 시장에서 진입기업의 서비스 다양화와 품질전략 = Quality segmentation strategy in vertical differentiation market 김도환 p. 83-90
승객 이용시간 최소화를 위한 고층전용 엘리베이터의 운행 정책 연구 = A study on high-rise elevator's operation policy minimizing passenger's waiting and journey time 김태환, 성승연, 한종범, 손재동 p. 91-100

참고문헌 (28건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 김상원(2009), “소비자의 구매행동을 고려한 항공편 최적 좌석용량 할당에 관한 연구,” 대한산업공학회지, 35(3), 185-193. 미소장
2 김상원(2013), “항공수익경영모형의 최적해 도출을 위한 이론적 고찰,” 한국항공경영학회지, 11(3), 15-32. 미소장
3 송윤숙, 이휘영, 윤문길(2008), “항공사 패키지여행 단체수요의 좌석할당 문제,” 경영과학, 25(1), 93-106. 미소장
4 송윤숙, 이휘영, 윤문길(2009), “선형근사기법을이용한 단일 비행구간의 좌석할당 모형,” 경영과학, 26(3), 117-131. 미소장
5 윤문길, 이휘영(2017), “구매유예 옵션 상품의도입을 고려한 항공사 좌석배분 모형 연구,” 한국항공경영학회지, 15(6), 3-15. 미소장
6 윤문길, 이휘영(2020), “묶음상품 수량할인을 고려한 항공사 좌석배분 모형 연구,” 한국항공경영학회지, 18(3), 61-75. 미소장
7 윤문길, 이휘영, 박학진(2017), 수익경영: 항공산업으로부터의 확장, 한경사, 서울. 미소장
8 이행주(2020), “요금 클래스별로 다른 초과판매비용 하에서의 수익관리”, 한국경영과학회지, 45(3), 1-9. 미소장
9 이휘영(2010), “항공가격 전략과 수익경영의 원리 분석,” 항공진흥, 53, 113-127. 미소장
10 Belobaba, P.(1987), “Airline Yield Management:An Overview of Seat Inventory Control,”, Transportation Science, 21(2), 63-73. 미소장
11 Belobaba, P.(1989), “Application of a probabilistic decision model to airline seat inventory control,” Operations Research, 37(2), 183-197. 미소장
12 Burumelle, S., and McGill, J.(1993), “Airline Seat Allocation with Multiple Nested Fare Classes,” Operations Research, 41, 127-137. 미소장
13 Curry, R.(1990), “Optimal Seat Allocation with Fare Classes Nested by Origins and Destinations,”Transportation Science, 24(3), 193-204. 미소장
14 Fiig, T., Isler, K., Hopperstad, C., and Olsen, S.(2012), “Forecasting and optimization of fare families,” Journal of Revenue and Pricing Management, 11(3), 322–342. 미소장
15 Gönsch, J., Koch, S., and Steinhardt, C.(2013), “An EMSR- based approach for revenue management with integrated upgrade decisions,”Computers & Operations Research, 40, 2532-2542. 미소장
16 Jiang, H.(2008), “A Lagrangian relaxation approach for network inventory control of stochastic revenue management with perishable commodities,” Journal of the Operational Research Society, 59(3), 372-380. 미소장
17 Klein, R., Koch, S., Steinhardt, C., and Strauss, A.K.(2020), “A review of revenue management:Recent generalizations and advances in industry applications,” European Journal of Operational Research, 284, 397-412. 미소장
18 Littlewood, K.(1972), “Forecasting and control of passenger bookings,” Proceedings of the Twelfth Annual AGIFORS Symposium, Nathanya, Israel. 미소장
19 McGill, J.I., and van Ryzin, G.(1999), “Revenue Management: Research Overview and Prospects,”Transportation Science, 33, 233-256. 미소장
20 Song, Y.S., Hong, S.T., Hwang, M.S., and Yoon, M.G.(2010), “MILP model for network revenue management in airlines,” Journal of Business and Economic Research, 8(2), 155-162. 미소장
21 Subramanian, J., Stidham, S., and Lautenbacher, C.J.(1999), “Airline yield management with overbooking, cancellations, and no-shows,”Transportation Science, 33(2), 147-167. 미소장
22 Szwarc, W.(1964), “The transportation problem with stochastic demand,” Management Science 11, 33-50. 미소장
23 Talluli, K.T., and van Ryzin, G.(2005), The theory and practice of revenue management, Springer, New York. 미소장
24 Tong, C., and Topaloglu, H.(2014), “On the approximate linear programming approach for network revenue management problems,”INFORMS Journal of Computing, 26(1), 121-134. 미소장
25 Topaloglu, H.(2009), “Using lagrangian relaxation to compute capacity-dependent bid prices in network revenue management,” Operations Research, 57, 637-649. 미소장
26 Yoon, M.G., and Lee, H.(2019), “Seat assignment problem with the payable up-grade as an ancillary service in airlines”, Working paper, Korea Areospace University. 미소장
27 Yoon, M.G., Lee, H.Y., and Song, Y.S.(2012), “Linear approximation approach for a stochastic seat allocation problem with cancellation & refund policy in airlines,” Journal of Air Transport Management, 23, 41-46. 미소장
28 Yoon, M.G., Lee, H.Y., and Song, Y.S.(2017), “Dynamic pricing & capacity assignment problem with cancellation and mark-up policies in airlines,” Asia Pacific Management Review, 22(2), 97-103. 미소장