원문정보
초록
영어
Predicting potential demand in the future is an important issue in terms of estimating the size of demand in the light of uncertainty in the future market for a particular service offering. Air demand is selected by a variety of factors, and is ultimately determined by schedule, day of the week, season, price, service awareness, airline recognition, quality of service, reservation convenience, loyalty program, etc., which includes departure and arrival time. In order to realize revenue growth through the airline's profit management, accurate demand forecasts must be first of all. Therefore, this study uses the eight models presented by PROS to demonstrate the optimal demand forecast from the specific point of departure D-352 to the point of departure of the aircraft, using the eight models presented to determine the optimal profitability in the revenue management process, so as to establish the rationale for selecting the appropriate demand forecast model for each demand situation.
목차
I. 서론
II. 이론적 고찰
1. 시계열 분석 모형
2. 평활법 모형
3. 인과형 분석 모형
III. 수요예측모형별 수익경영성과(수요예측) 실증 분석
1. 선형회귀(Linear Regression) 모형 실증
2. 로그회귀(Logarithmic Regression) 모형 실증
3. 전년도 비교(Last Year) 모형 실증
4. 전체 예약(All Booking) 모형 실증
5. 0-예약(Zero Booking) 모형 실증
6. 평균수요(Mean) 모형 실증
7. 승수(Multiplicative) 모형 실증
8. 지수평활 선택(Exponential Smoothing Pick-up) 모형 실증
VI. 결론
참고문헌