본문 바로가기 주메뉴 바로가기
22대 대한민국 국회 국회정보길라잡이 국회의원검색
회원가입 로그인
HOME

정보검색

소장정보 검색

국회도서관 홈으로 정보검색 소장정보 검색

결과 내 검색

동의어 포함

고급검색

인명/단체명

저자정보 상세정보
인명/단체명을 입력하세요.

키워드

  • 대표어

  • 외국어

-

초록보기

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

추천서가 (다양한 추천 자료를 만나보세요)

권호기사보기

권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 기사목차

권호

기사명 원문보기 기사목차
닫기