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基于任务分析的维修力量数量预测方法 被引量:1

Quantity Forecast Method of Maintenance Force Based on Task Analysis
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摘要 针对传统维修力量和数量预测方法存在的不足,提出了基于任务分析的维修力量和数量预测方法,以任务分解、活动-角色关联分析为基础,以基本维修力量模块为纽带,通过建立维修活动业务流程和基本维修力量模块构成的关系模型,以及维修活动并发性与维修力量模块数量之间的解析模型,得出维修力量的数量需求;该方法较好反映了战场任务区分的实际,避免了维修力量模块执行简单任务时人员装备闲置时间的复杂计算,突出体现了任务需求对保障力量建设的牵引作用,充分考虑了维修任务量的动态变化和保障样式对维修力量需求的影响,为确定维修力量数量需求提供了新的途径。 Aiming at the shortcomings of the traditional maintenance force quantity forecast method, we proposed the method based on task snalysis. On the basis of subdividing task and associations between ma-intenanee activities and maintenance units, we set up the relational model of maintenance activities' busi- ness processes and maintenance force modules, and the analytical model of the concurrency value of main- tenanee activities and the quantity of maintenance force modules. Then we figured out the quantity demand of maintenance force. The method reflects the tractive effort of task to maintenance force requirements, gives full consideration to the effects of task changes and maintenance support styles on quantity require- ments, and provides a new way to determining the maintenance force quantity requirements.
机构地区 装甲兵工程学院
出处 《四川兵工学报》 CAS 2014年第1期5-9,共5页 Journal of Sichuan Ordnance
关键词 维修力量 数量需求 预测 任务分析 maintenance force quantity requirements forecast task analysis
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  • 1Wu S M ,Zuo M J. Linear and Nonlinear Preventive Mainte-nance Models [j]. IEEE Trans Reliab ,2010,59(1): 242-249. 被引量:1
  • 2Ghasemi A,Yacout S,Ouali M S. Parameter Estimation Meth-ods for Condition-Based Maintenance with Indirect Observa-tions [J]. IEEE Trans Reliab,2010,59(2): 426-439. 被引量:1
  • 3Abdel H M. A Gamma Wear Process [J]. IEEE Trans Re-liab, 1975,24(2): 152-153. 被引量:1
  • 4Noortwijk J M. A Survey of the Application of Gamma Process-es in Maintenance [J]. Reliab Eng Syst Safety,2009 (94):2-21. 被引量:1
  • 5Kyung S P. Optimal Wear-Limit Replacement with Wear-Dependent Failures [J]. IEEE Trans Reliab, 1988,37(3):293-294. 被引量:1
  • 6Esary J,Marshall A,Proschan F. Shock Models and WearProcesses [J]. Annals of Probability, 1973,1(4): 627-649. 被引量:1
  • 7Saassouh B,Dieulle L,Grail A. Online MainteNance Policyfor a Deteriorating System with Random Change of Mode[j]- Reliab Eng Syst Safety,2007(92) : 1677-1685. 被引量:1
  • 8Fouladirad M ,Grail A,Dieulle L. On the use of on-lineDetection for Maintenance of Gradually Deteriorating Sys-tems [J]. Reliab Eng Syst Safety,2008(93): 1814-1820. 被引量:1
  • 9Tseng S T,Wen Z C. Step-stress Accelerated DegradationAnalysis of Highly-reliable Products [J]. Journal of QualityTechnology, 2000( 32): 209-216. 被引量:1
  • 10Tseng S T, Balakrishnan N , Tsai C C. Optimal Step-stressAccelerated Degradation Test Plan for Gamma DegradationProcesses [j]. IEEE Trans Reliab,2009,58(4): 611-618. 被引量:1

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