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Acta Armamentarii ›› 2018, Vol. 39 ›› Issue (11): 2267-2279.doi: 10.3969/j.issn.1000-1093.2018.11.022

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An Assessment Model of Operational Readiness Rate in Mission Interval Considering Multiple Support Factors

GAO Long1, SONG Tai-liang2, CAO Jun-hai1, XING Biao3, YAN Xu1   

  1. (1.Department of Technical Support Engineering, Academy of Armored Force Engineering, Beijing 100072, China;2.China Defense Science and Technology Information Center, Beijing 100142, China; 3.Department of Armored Vehicle Technique, Urumqi Campus of Engineering University of PAP,Urumqi 830049, Xinjiang, China)
  • Received:2018-03-12 Revised:2018-03-12 Online:2018-12-25

Abstract: A scientific and reasonable operational readiness assessment is of great significance for accurately grasping the actual combat capabilities of the army, optimizing the architecture of the equipment support system of systems (SOS), and improving the operational capabilities of equipment and the effectiveness of support SOS. The current assessment models focus on the maintenance support factors but ignore the supply support factors and fail to deal with the equipment and support SOS with the complex architecture and states. A new comprehensive operational readiness rate assessment model considering multiple support factors in mission interval is proposed. The interactive relationship and support process of equipment SOS and support SOS are analyzed. An operational readiness rate assessment model of individual equipment combat unit in the equipment SOS is constructed from the perspective of equipment support requirements, and an operational readiness rate assessment model of multiple equipment combat units sharing the same support SOS is further established on this basis. In the models, the the same and different support requirements of the equipment combat units are considered, respectively. For the problem that the equipment SOS states are difficultly determined when the model is solved, a method of determining the states of the equipment SOS based on vector universal generating function is presented. The validity and superiority of the proposed models to assess readiness quantificationally are verified by the example analysis. Key

Key words: missioninterval, equipmentsystemofsystems, operationalreadinessrate, equipmentsupport, supportfactor, vectoruniversalgeneratingfunction

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