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Research on Integrated Simulation and Modeling of RMS

可靠性維修性保障性一體化模擬建模研究

摘要


Correctly assessing the reliability, maintainability, and supportability (RMS) of a complex system is important for predicting its probability of success in performing a mission (i.e., mission success). In this paper, an integrated RMS simulation modeling method is proposed: the generation and propagation of faults are simulated by multi-agent simulation models and discrete event system simulation models are used to model the maintenance and support of faults. A multi-method simulation platform AnyLogic is used to implement the component agent model, the logical agent model, and the maintenance and support discrete event system model, respectively. The case shows that this integrated simulation model has low modeling difficulty, high simulation efficiency, and high adaptability compared with other types of simulation models. The research results represent a further step towards developing complex system simulations.

並列摘要


正確評估複雜系統的可靠性、維修性、保障性(reliability, maintainability, and supportability, RMS)對於預測其執行任務的成功概率(即任務成功性)具有十分重要的意義,本文提出了一種RMS一體化模擬建模思路,用多智慧體模擬模型類比故障的產生和傳播,用離散事件系統模擬模型類比故障的維修和保障,並利用多方法模擬平臺AnyLogic分別實現了系統部件智慧體模型、邏輯智慧體模型及維修保障離散系統模型。案例表明,此一體化模擬模型相比其他類型的模擬模型,具有建模難度低,模擬效率高,適應性強等特點,對其他複雜系統模擬具有借鑑意義。

參考文獻


Agalianos, K., Ponis, S. T., Aretoulaki, E., Plakas, G. and Efthymiou, O., 2020, Discrete event simulation and digital twins: review and challenges for logistics, Procedia Manufacturing, 51, 1636-1641. doi:10.1016/j.promfg.2020.10.228
Borshchev, A., 2014, Multi-method modelling: AnyLogic, in Discrete-Event Simulation and System Dynamics for Management Decision Making, edited by Brailsford, S., Churilov, L. and Dangerfield, B., John Wiley & Sons, Chichester, UK, 248-279. doi:10.1002/9781118762745.ch12
Davidsson, P., 2001, Multi agent based simulation: beyond social simulation, in Second International Workshop on Multi-Agent-Based Simulation (MABS-2000), Boston, MA, 97-107. doi:10.1007/3-540-44561-7_7
Delaney, W. and Vaccari, E., 1988, Dynamic Models and Discrete Event Simulation, CRC Press, Boca Raton, FL. doi:10.1201/9781003065692
Hörl, S., Balac, M. and Axhausen, K. W., 2019, Dynamic demand estimation for an AMoD system in Paris, in 30th IEEE Intelligent Vehicles Symposium, Paris, France, 260-266. doi:10.1109/IVS.2019.8814051

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