Solid Mechanics and Vehicle Conceptual Design

Corrective Maintenance Process Modeling and Simulation of Multi-indenture Multi-echelon Systems Based on MFBD

  • WANG Kai ,
  • GUO Linhan ,
  • GAO Bocheng ,
  • WANG Naichao
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  • School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China

Received date: 2012-09-06

  Revised date: 2012-11-06

  Online published: 2012-11-23

Supported by

National Natural Science Foundation of China (70901004,61104132)

Abstract

Due to the increased complexity of the equipment and the uncertainty of the maintenance process, simulation based on a conceptual model is generally used to analyze a complex repairable system’s corrective maintenance (CM) process. On the basis of building a maintenance process concept model, the modeling method via a stochastic maintenance function block diagram (MFBD) is presented. Testability characteristics are considered in the model and the simulation model can describe multi-indenture multi-echelon (MIME) system corrective maintenance, in which complicated hierarchy and logical relationship between the process are concentrated. Subsequently, a calculating simulation method of mean repair time of complex repairable system is given according to simulation objects status, which changed in the processes of system maintenance influenced by resources queueing, and finally, a simulation application case of complicated repairable system is constructed to illustrate the simulation, and correctness and applicability of the model is confirmed through the sensitivity analysis by ajusting the influenced factors such as testability design parameters.

Cite this article

WANG Kai , GUO Linhan , GAO Bocheng , WANG Naichao . Corrective Maintenance Process Modeling and Simulation of Multi-indenture Multi-echelon Systems Based on MFBD[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(7) : 1646 -1653 . DOI: 10.7527/S1000-6893.2013.0282

References

[1] Guo L H, Wang K, Wang Y, et al. Multi-indenture multi-echelon spare part supply chain requirement modeling and simulation. Computer Integrated Manufacturing Systems, 2010, 16(10): 2038-2043. (in Chinese) 郭霖瀚, 王恺, 王严, 等. 多级多层备件供应链需求建模与仿真. 计算机集成制造, 2010, 16(10): 2038-2043.

[2] Robinson S. Discrete-event simulation: from the pioneers to the present, what next? Journal of Operational Research Society, 2005, 56(6): 619-629.

[3] Jiang H, Dong Y S, Luo J Z. Research on Petri net based modeling and analyzing methods for workflow process. Journal of Southeast University: English Edition, 2000, 16(2): 66-73.

[4] Huang D P, Cao J P, Song J S, et al. Process-modeling in virtual maintenance based on Petri net. Ordnance Industry Automation, 2011, 30(1): 41-43. (in Chinese) 黄东坡, 曹继平, 宋建社, 等. 基于Petri网的虚拟维修过程建模. 兵工自动化, 2011, 30(1): 41-43.

[5] Zapata C J, Silva S C, Gonzalez H I, et al. Modeling the repair process of a power distribution system. Transmission and Distribution Conference and Exposition, 2008: 1-7.

[6] Javier F. Predicting availability functions in time-dependent complex systems with SAEDES simulation algorithms. Reliability Engineering and System Safety, 2008, 93(11):1761-1771.

[7] Blanchard B S, Fabrycky W J. System engineering and analysis. 3rd ed. Beijing: Tsinghua University Press, 2002: 644-673.

[8] Nie C L, Zhu X D, He Y D. Maintenance flow diagram based maintenance time simulation. Computer Simulation, 2004, 22(3): 41-47.(in Chinese) 聂成龙, 朱小东, 何应德. 基于维修流程框图的维修时间仿真研究. 计算机仿真, 2004, 22(3): 41-47.

[9] Mattila V, Virtanen K, Raivio T. A simulation model for aircraft maintenance in an uncertain operational environment. 17th European Simulation Multiconference, 2003.

[10] Richard C. Modeling aircraft repair turntime simulation supports maintenance marketing efforts. Journal of Air Transport Management, 1995, 2(1): 25-32.

[11] Cassel R A, Pidd M. Distributed discrete event simulation using the three-phase approach and Java. Simulation Practice and Theory, 2001, 8(6): 491-507.

[12] Balaban H S, Brigantic R T, Wright S A, et al. A simulation approach to estimating aircraft mission capable rates for the United States Air Force. Winter Simulation Conference, 2000: 1035-1042.

[13] Duffuaa S O, Ben-Daya M, Al-Sultan K S, et al. A generic conceptual simulation model for maintenance systems. Journal of Quality in Maintenance Engineering, 2001, 7(3): 207-219.

[14] Marseguerra M, Zio E. Optimizing maintenance and repair policies via a combination of genetic algorithms and Monte Carlo simulation. Reliability Engineering and System Safety, 2000, 68(1): 69-83.

[15] Chen E J, Lee Y M, Selikson P L. A simulation study of logistics activities in a chemical plant. Simulation Modelling Practice and Theory, 2002, 10(3): 235-245.

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