Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (1): 106-113.doi: 10.3969/j.issn.1001-506X.2018.01.16

Previous Articles     Next Articles

Optimization decision analysis model of equipment support platform wartime application

ZHAO Xiaodong, LI Xiong#br#

#br#
  

  1. Department of Equipment Command and Administration, Army Armored Force Institute, Beijing 100072, China
  • Online:2018-01-08 Published:2018-01-08

PDF (PC)

Abstract:

For equipment support platform wartime application optimization, because of the Markov property of being fire attacked and maintenance during the maneuver process, the fire attack time is viewed as a discrete parameter according to the attack number, thus the process is described as a discrete-state and discrete-time Markov chain. Hereby, Markov chain models with unconditional self-maintenance and conditional self-maintenance are established, and optimization decision analysis on a single equipment support platform wartime application is performed. Based on the objective of maximizing the battlefield repair rate, the equipment support platform unit optimization model considering being fire attacked is established by using the programming theory, and thus the optimization decision analysis approach to platform unit wartime application is proposed. Finally, the results of case study show that the proposed models are simple, convenient and practical, which can provide decision basis for a commander to deploy reasonably equipment support platforms in wartime.

[an error occurred while processing this directive]