In order to manage essential parts that are required for the repairable parts services performed at the military maintenance depots, the United States Air Force developed the Repairability Forecasting Model (RFM). In the RFM, if the requirements of the parts are assumed to follow the normal probability distribution after applying means from the past data to the replacement rate and lead times, the chance of the AWP (Awaiting Parts) occurring is 50%. In this study, to counter the uncertainties of requirements and lead times from the RFM, the safety level concept is considered. To obtain the safety level for requirements, the binomial probability distribution is applied, while the safety level for lead time is obtained by applying the normal probability distribution. After adding this concept, the improved RFM is renamed as the ARFM (Advanced RFM), and by conducting the numerical stimulation, the effectiveness of the ARFM, minimizing the occurrence of the AWP, is shown by increasing the efficiency of the maintenance process and the operating rate of the weapon system.

1. 서 론
 2. RFM과 MRP 비교
  2.1 RFM과 MRP의 유사성
  2.2 RFM과 MRP의 차이점
 3. ARFM(Advanced RFM) 설계
  3.1 소요산정 방법론
  3.2 발주계획 수립
  3.3 안전계수 결정
 4. RFM과 ARFM의 비교 수치실험
  4.1 RFM 시스템 수치실험
  4.2 RFM 시스템 수치실험
  4.3 수치실험 결과 평가
 5. 결 론
 References

• 김흥섭(공군사관학교 시스템공학과) | Heung Seob Kim
• 김판수(경북대학교 경영학부) | Pansoo Kim Corresponding Author