The design and simulation of an autonomous system for aircraft maintenance scheduling

Abstract : Operational support is a key issue for aircraft maintenance, which aims to improve operational efficiency and reduce operating costs under the premise of ensuring flight safety. Although many works have emerged to achieve this aim, they mostly address the concept of maintenance systems, the relationship between stakeholders and the loop of maintenance information separately. Hence, the cooperation between stakeholders could be impeded especially when urgent decisions should be made, relying on historical data and real-time data. In this paper, we propose an innovative design of an autonomous system supporting the automatic decision-making for maintenance scheduling. The design starts from the proposition of the analysis framework, to concept formulation of the system, to information transitional level interface, and ends with an instance of system module interactions. The underlying architecture illustrates the high-level fusion of technical and business drives; optimizes strategies and plans with regard to maintenance costs, service level and reliability. An agent-based simulation system is developed as a proof to illustrate the feasibility of the system principle and algorithms. Furthermore, the simulation experiment analyzing the impact of maintenance sequence strategies on maintenance costs and service level has demonstrated the algorithm functionality and the feasibility of the proposed approach.
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Submitted on : Friday, October 11, 2019 - 4:22:16 PM
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Yinling Liu, Tao Wang, Haiqing Zhang, Vincent Cheutet, Guohua Shen. The design and simulation of an autonomous system for aircraft maintenance scheduling. Computers and Industrial Engineering, Elsevier, 2019, 137, pp.106041. ⟨10.1016/j.cie.2019.106041⟩. ⟨hal-02305653⟩

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