초록 열기/닫기 버튼
본 연구는 개별 전투임무기에 대한 체계적 분석에 초점을 두어 장비유지비 추정관계식을 개발하고자 한다. 이를 위해 정비와 관련된 문서와 정보체계 원천자료를 수집하여, 8개 전투임무기 기종에 대해 분석을 수행하였다. 다양한 변수와 대상기간을 조합하여 30개의 회귀분석 모델을 8개 기종별로 생성하고, 두 가지 평가척도(, MAPE) 측면에서 Diebold-Mariano 검정을 실시하여 쌍대 비교하였다. 그리고 기종별로 효과적 장비유지비 추정을 위해, 평가척도 분석 결과를 토대로 성능이 우수한 회귀모델을 제시하였다.
In the environment of procuring various high-tech weapon systems, maintenance budget grew at an annual rate of 6.5 percent for last fourteen years(2008-2021). The rate is much higher than the growth rate of the other operating & support budget, 3.9 percent. In particular, aircraft maintenance budget were increasing more steeply with 7.0 percent because more new aircraft are procured and maintenance policy is highly regulated and safety critical. This study aims to develop maintenance cost estimating relationships for creating analytic application on Air Force fighter aircraft individually. Utilizing the budget documentations and information systems related to maintenance, 8 fighter aircraft operated from 1988 to 2019 are analyzed. Thirty regression models created for each aircraft by combining various variables and data periods are compared using Diebold-Mariano test with two criteria of and MAPE. Maintenance cost estimation of an individual aircraft is important for setting budgets and for deciding when to replace aging systems. In addition, results from this study provide insight on when to start using actual O&S costs as a baseline for estimates in lieu of an analogous aircraft that has no sufficient cost data.
키워드열기/닫기 버튼
Maintenance Cost, Cost Estimating Relationships, CER, Fighter Aircraft, Regression Analysis
