航空学报 > 2009, Vol. 30 Issue (5): 919-924

以保障活动为中心的装备保障资源数量预测

郭霖瀚,康锐,文佳   

  1. 北京航空航天大学 工程系统工程系
  • 收稿日期:2008-12-15 修回日期:2009-04-07 出版日期:2009-05-25 发布日期:2009-05-25
  • 通讯作者: 郭霖瀚

Quantitative Forecast of Support Activity Centered Equipment Support Resources

Guo Linhan, Kang Rui, Wen Jia   

  1. Department of System Engineering of Engineering Technology, Beijing University of Aeronautics and Astronautics
  • Received:2008-12-15 Revised:2009-04-07 Online:2009-05-25 Published:2009-05-25
  • Contact: Guo Linhan

摘要: 根据保障资源在装备使用任务活动和装备保障活动中被消耗或占用的特点提出了以保障活动为中心的保障资源预测方法。以装备的运行活动为驱动,结合装备的可靠性、维修性和测试性等设计特性,建立装备使用任务与装备保障活动之间的关系,对保障活动的频度和时域特征进行抽象。根据保障资源使用特点进行分类,归纳了以保障活动为中心的装备保障资源预测的输入条件。从消耗性资源和占用性资源两个方面分别建立了保障资源需求量预测模型,可以在一个特定阶段内对保障站点内的装备群保障资源平均需求量进行预测,并用飞机装备进行了案例验证,可为研制部门进行保障资源数量预测提供有效的理论和技术支持。

关键词: 装备, 后勤, 可靠性, 保障性, 维修性

Abstract: This article presented a support activity centered equipment support resources forecasting method based on the characteristics of equipment support resources being consumed or processed in equipment operational activities and support activities. Driven by equipment operational activities, a relationship between equipment mission and support activity was constructed, which was constrained by equipment reliability, maintainability, testability, etc. The characteristics of frequency and executing time of equipment logistic support activities were abstracted with focus on operational activities and support activities. Equipment support resources were divided into two categories according to whether the resources were processed or consumed in the activity. Equipment support resources forecasting input items were summarized. A quantitative requirement forecast model for equipment support resources was constructed from the two aspects of consuming resources and processing resources. Thus the mean unit quantity of equipment support resources requirement can be calculated and forecast for a specific deployment station in a certain duration of time. The proposed method is demonstrated via a practical case, which proves that the model and analysis is effective and that it can provide theoretical and technical support for the analysis and forecast of support resources requirements.

Key words: equipment, logistics, reliability, supportability, maintainability

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