인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Aeroengine is an expensive large-scale precision and complex equipment, in the operation process needs to be repaired and maintained many times. The current management of civil aeroengine is generally aeroengine fleet as a unit, the development of maintenance plans, but once the maintenance plan is determined, if encountered unplanned disturbances, such as aeroengine repair ahead of schedule and other emergencies, the maintenance plan cannot make self-adjustment, it is difficult to be applied to the engineering practice. In view of the above problems, this paper proposes and establishes a dynamic adjustment model for long-term fleet maintenance plan by considering the actual needs of engineering and combining with the research on dynamic scheduling. In this model, the optimization goal is to minimize the cost generated by engine shortage and engine waste, minimize the balanced index of repair delivery, and minimize the difference between the plans before and after dynamic adjustment. Using the gray wolf optimization algorithm (GWO) for solving, the dynamic adjustment model is compared with the nondynamic adjustment model in a comparative test, and the accuracy and practicality of the dynamic adjustment model are verified.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.