• Title/Summary/Keyword: 고장 다빈도 품목

Search Result 2, Processing Time 0.015 seconds

The Impact of Failure Frequency Items on Availability and Operation Support Costs of Armored Vehicles (장갑차의 가용도와 운영유지비용에 미치는 고장 다빈도 품목의 영향성 분석)

  • Bong, Ju-Sung;Baek, Il-Ho;Kim, Min-Seop;Hur, Jang-Wook
    • Journal of the Korean Society of Manufacturing Process Engineers
    • /
    • v.20 no.4
    • /
    • pp.8-15
    • /
    • 2021
  • The effects on system availability, operation, and support costs were analyzed using the M&S system (MPS). The failure frequency items of current armored vehicles were identified and the MTBF of the identified items was improved. The results of this study suggest that when we reduce the frequency of failure, the availability increases, and the operation and support costs decrease. By improving the reliability of the failure frequency items, it becomes possible to upgrade or develop the weapons systems. Through this study, we confirmed that improving reliability will enhance combat readiness and reduce operation and support costs.

Development Direction of Reliability-based ROK Amphibious Assault Vehicles (신뢰성 기반 한국군 차기 상륙돌격장갑차 발전방향)

  • Baek, Ilho;Bong, Jusung;Hur, Jangwook
    • Journal of the Korean Society of Manufacturing Process Engineers
    • /
    • v.20 no.2
    • /
    • pp.14-22
    • /
    • 2021
  • A plan for the development of reliability-based ROK amphibious assault vehicles is proposed. By analyzing the development case of the U.S. EFV, considerations for the successful development of the next-generation Korea Forces amphibious assault vehicle are presented. If the vehicle reliability can be improved to the level of the fourth highest priority electric unit for power units, suspensions, decelerators, and body groups, which have the highest priority among fault frequency items, a system level MTBF of 36.4%↑ can be achieved, and the operational availability can be increased by 3.5%↑. The next-generation amphibious assault vehicles must fulfill certain operating and performance requirements, the underlying systems must be built, and sequencing of the hybrid engine and the modular concept should be considered. Along with big-data- and machine-learning-based failure prediction, machine maintenance based on augmented reality/virtual reality and remote maintenance should be used to improve the ability to maintain combat readiness and reduce lifecycle costs.