sa ›› 2018, Vol. 23 ›› Issue (2): 244-249.doi: 10.1007/s12204-017-1865-x

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Monte Carlo Based Analysis and Validation Method for Time for Single Vehicle Combat Preparation of Armored Vehicle

CAO Junhai (曹军海), XING Biao (邢彪), DU Haidong (杜海东), SHEN Ying (申莹)   

  1. (Department of Technical Support Engineering, Academy of Armored Force Engineering, Beijing 100072, China)
  • 出版日期:2018-04-01 发布日期:2018-06-19
  • 通讯作者: CAO Junhai (曹军海) E-mail:jhcao@163.com

Monte Carlo Based Analysis and Validation Method for Time for Single Vehicle Combat Preparation of Armored Vehicle

CAO Junhai (曹军海), XING Biao (邢彪), DU Haidong (杜海东), SHEN Ying (申莹)   

  1. (Department of Technical Support Engineering, Academy of Armored Force Engineering, Beijing 100072, China)
  • Online:2018-04-01 Published:2018-06-19
  • Contact: CAO Junhai (曹军海) E-mail:jhcao@163.com

摘要: Time for single vehicle combat preparation (TSVCP) is an important characteristic parameter for the operational support feature of armored vehicle. During the development phase, how to validate the TSVCP of armored vehicle through analytic method is a difficult issue in analysis and validation of vehicle supportability. This paper uses Monte Carlo approach and builds a working model for single vehicle combat preparation (SVCP) of armored vehicle, thus realizes the prediction and analysis of the TSVCP of armored vehicle, and finally validates the effectiveness of the approach by example.

关键词: Monte Carlo method, supportability, armored vehicle, time for single vehicle combat preparation (TSVCP), random variable

Abstract: Time for single vehicle combat preparation (TSVCP) is an important characteristic parameter for the operational support feature of armored vehicle. During the development phase, how to validate the TSVCP of armored vehicle through analytic method is a difficult issue in analysis and validation of vehicle supportability. This paper uses Monte Carlo approach and builds a working model for single vehicle combat preparation (SVCP) of armored vehicle, thus realizes the prediction and analysis of the TSVCP of armored vehicle, and finally validates the effectiveness of the approach by example.

Key words: Monte Carlo method, supportability, armored vehicle, time for single vehicle combat preparation (TSVCP), random variable

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