Research on Equipment Support Activity Process Simulation Based on Monte Carlo Method

doi:10.1007/s12204-017-1901-x

Abstract

Abstract: The influencing factors of the equipment support activity process have the characteristics of nonlinearity, high dimension, many constraints, random uncertainty and fuzzy uncertainty. Monte Carlo method can solve the above problems commendably. This paper analyzes the main equipment support activity process and establishes the sampling plan and simulation model of the medium maintenance process based on Monte Carlo method, and the simulation result verifies a fact that the medium maintenance time can be effectively reduced when parallel operation on some procedures is used. It has a practical value and can give good advice to achieve the capability of equipment supportability.

Key words: Monte Carlo method| equipment support activity| process| simulation

摘要： The influencing factors of the equipment support activity process have the characteristics of nonlinearity, high dimension, many constraints, random uncertainty and fuzzy uncertainty. Monte Carlo method can solve the above problems commendably. This paper analyzes the main equipment support activity process and establishes the sampling plan and simulation model of the medium maintenance process based on Monte Carlo method, and the simulation result verifies a fact that the medium maintenance time can be effectively reduced when parallel operation on some procedures is used. It has a practical value and can give good advice to achieve the capability of equipment supportability.

关键词: Monte Carlo method| equipment support activity| process| simulation

CLC Number:

TP 391.9

XING Biao (邢彪), SONG Tailiang (宋太亮), CAO Junhai (曹军海),DONG Yuansheng (董原生), LI Kai (李锴). Research on Equipment Support Activity Process Simulation Based on Monte Carlo Method[J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(2): 250-255.

References 9

[1]	SONG T L, WANG Y L, FANG Y. General philosophyof support for material development [M]. Beijing:National Defense Industry Press, 2014 (in Chinese).
[2]	The State Council Information Office of the People’sRepublic of China. China’s national defense in 2015[Z]. Beijing: Xinhua News Agency, 2015 (in Chinese).
[3]	JAMSHIDI M. System of systems engineering: Innovationsfor the 21st century [M]. New Jersey: JohnWiley & Sons Inc, 2013.
[4]	RAINEY L B, TOLK A. Modeling and simulation supportfor system of systems engineering application [M].New Jersey: John Wiley & Sons Inc, 2015.
[5]	NELSON B L. Foundations and methods of stochasticsimulation [M]. Switzerland: Springer InternationalPublishing, 2015.
[6]	WEN J Q, LI Q, ZHAO Q B. Method to analyze theimpact of maintenance and support process based onneural network [J]. Journal of Beijing University ofAeronautics and Astronautics, 2011, 37(6): 690-694(in Chinese).
[7]	BIE C h, WANG X f. The application of Monte Carlomethod to reliability evaluation of power systems [J].Automation of Electric Power Systems, 1997, 21(6):68-75 (in Chinese).
[8]	CHENG W X, CHEN L Q, GONG S G, et al. Readinesssimulation of ship equipment based on MonteCarlo method [J]. Acta Armamentarii, 2006, 27(6):1090-1094 (in Chinese).
[9]	The AnyLogic Company. Multi method simulationsoftware [EB/OL]. (2015-06-06). [2015-06-06]. http://www.anylogic.com.

[1]	WANG Feng, CHEN Tielin, FAN Rong, LI Yuepeng. Large-Scale Numerical Simulation and Application of Hydraulic Fracturing in Soil [J]. Journal of Shanghai Jiao Tong University, 2026, 60(3): 463-472.
[2]	YANG Minghui, WEI Yali, LU Junyan, LI Xinhai. A Cross-Modal Target Matching Method for Optical Image and SAR Images Based on Window Attention Mechanism [J]. Air & Space Defense, 2026, 9(1): 73-79.
[3]	NI Yu, XU Yazhou, LUO Yizhe, YU Mengxin, JIN Zhao, FENG Shuo, SHI Yucheng, XU Mingliang. System Effectiveness Evaluation Method for Multi-Spacecraft Operational Systems Based on Complex Network Theory [J]. Air & Space Defense, 2026, 9(1): 132-144.
[4]	WANG Xiaolei, WANG Teng, WEI Mei, et al. Ship Data Simulation Test Platform [J]. Ocean Engineering Equipment and Technology, 2026, 13(1): 69-76.
[5]	Zhang Dong, Liu Sheng, Shi Mengyao, Cai Yu, Wang Dazhong. Misaligned Parallel-Chamber Soft Pneumatic Network Actuator for Multi-Mode Gripping [J]. J Shanghai Jiaotong Univ Sci, 2026, 31(1): 59-70.
[6]	ZHOU Lubo, ZHANG Zhaoqi, WANG Dong, SONG Hui. A Multiscale Simulation of Surface Discharge and Discharge Signals in SF₆ [J]. Journal of Shanghai Jiao Tong University, 2025, 59(9): 1397-1406.
[7]	YAN He, ZHU Xingyue, HOU Zhangli, WANG Weijun, ZHANG Zhinan. Design and Motion Modeling of a Small-Scale Lunar Jumping Robot [J]. Journal of Shanghai Jiao Tong University, 2025, 59(8): 1169-1180.
[8]	JIN Tao, GAO Bin, WANG Qiangqiang, ZHOU Hang, HE Wen, FENG Shaokong. Inversion and Simulation Algorithm of High-Density Surface Wave Method for Pseudo Co-Seismic Source and Its Application [J]. Journal of Shanghai Jiao Tong University, 2025, 59(7): 1029-1040.
[9]	WANG Yaogang, WANG Zheming, LI Ke, JIA Bowen, YANG Hua, YAN Wu, LU Wu. Characteristics of Surface Charge Accumulation on Direct Current GIL Insulators Under Different Dominant Mechanisms Considering Surface Trapping Effect [J]. Journal of Shanghai Jiao Tong University, 2025, 59(7): 983-994.
[10]	DING Shifeng, ZHOU Li, GU Yingjie, LIU Renwei, HU Yangfan, LIU Zhibing. Numerical Simulation of Freezing Process in Ice Tank Driven by Cold Air [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(6): 1265-1275.
[11]	CHEN Anran, JIA Dao, HE Wei. Numerical Simulation Research on the Characteristics and Influence Factors of High-Velocity Fragment Penetrating Panel [J]. Air & Space Defense, 2025, 8(6): 53-61.
[12]	WU Xin, HUANG Zhonghua, ZHOU Yuxuan, FAN Haojiang, LIU Delian. Research on Simulation Methods of Turbulence Effects in Infrared Scene Simulation [J]. Air & Space Defense, 2025, 8(6): 62-72.
[13]	CAI Aifeng, TIAN Yi, TIAN Yusong, SHE Shaobo, LI Chunyu, WU Jingyi. Research on Light Transmission Performance in a Low-Temperature Nitrogen Environment [J]. Air & Space Defense, 2025, 8(6): 103-113.
[14]	NA Pengyue, WU Zhen, LIU Qi, HUO Junzhou. Life Analysis of Wear Fatigue Competition Failure Mechanism of Main Bearing of Boring Machine [J]. Journal of Shanghai Jiao Tong University, 2025, 59(5): 675-683.
[15]	ZHANG Qiang, CHEN Zhenhua, WANG Wenlong, SU Huaiwei, CHI Dejian. Numerical Simulation Study on Damage Characteristics of Reinforced Concrete T-Beam Bridge Under Blast Point Control [J]. Air & Space Defense, 2025, 8(5): 83-90.