期刊文献+

导航装备维修用备件需求预测 被引量:4

Forecast for Maintenance Spare Parts Usage of Navigation Equipment
下载PDF
导出
摘要 研究导航装备维修用备件需求预测,以便制定保障计划的筹措、分配、储存、调拨、使用等各项工作的顺利进行。通过对季节指数法的详细研究,归纳出该方法的一般步骤,根据某导航装备维修备件的来源及历史消耗特点,在一定假设条件下,运用简单移动平均法修正历史数据,采用季节指数法预测维修备件消耗量,并利用GM(1,1)模型检验预测精度;两种方法计算得出导航装备某备件2008年消耗量分别为209个和214个,预测精度为一级,符合预测要求;通过对这两种预测方法的比较研究,归纳出不同的使用条件,进一步说明该方法在备件预测中的实用性和适用性,有利于备件预测的进一步研究。 Spare parts are the important material basis of the usage and implement of equipment, and the estimation of the spare parts consumption is the core question in formulating the support plan, which will directly affect the performance of the follow -up work including the raising, the assignment, the storage and the appropriation. Ac- cording to the history consume and the source of navigation equipment maintenance spare parts characteristic, using simple move in average to correct the historical data, adopting the season exponent to forecast the maintenance con- sumption of spare parts, and testing the forecasting accuracy with the model of GM ( 1,1 ). As a result, the certain navigation equipment consumption numbers of spare parts in 2008 are respectively 209 and 214. The two forecast results differ within 3%. Through the comparison between the two forecast methods, different use conditions are generalized, which can guide the further research of the forecast of spare parts.
出处 《空军工程大学学报(自然科学版)》 CSCD 北大核心 2009年第2期51-55,共5页 Journal of Air Force Engineering University(Natural Science Edition)
基金 陕西省自然科学基金资助项目(SJ08F06)
关键词 导航装备 维修备件 预测 季节指数 GM(1 1) navigation equipment maintenance spare parts forecast season exponent GM ( 1,1 )
  • 相关文献

参考文献8

  • 1邓聚龙.灰色系统[M].北京:国防工业出版社,1985..
  • 2宋辉,李勇,肖慧鑫,郗铭琦.装备维修中备件需求率的预计方法[J].兵工自动化,2007,26(2):26-27. 被引量:8
  • 3刘秋华.基于季节指数和灰色预测的月电量预测模型[J].南京工程学院学报(自然科学版),2006,4(1):1-6. 被引量:17
  • 4Tseng Fangmei, Yu Hsiaocheng, Tzeng Gwohsiung. Applied Hybrid Grey Model to Forecast Seasonal Time Series [ J]. Technological Forecasting and Social Change ,2001,67 (2) :293 - 294.
  • 5戴传金,赵修斌,许进,李颖路.基于模型化设计的进近着陆系统多径效应仿真[J].空军工程大学学报(自然科学版),2006,7(6):32-35. 被引量:3
  • 6Thomas Willemaip R, Charles Smatr N, Henry Sehwarz F. A New Approach to Forecasting Intermittent Demand for Service Parts Inventories[ J]. International Journal of Forecasting ,2004,20:375 - 387.
  • 7Robert C, Kline, Tovey C. Estimating Spare Parts Requirements with Commonality and Redundancy [ J ]. Journal of Spacecraft and Rocket ,44 (4) :977 - 984.
  • 8Ghodrati, Behzad Akersten, Peranders. Spare Parts Estimation and Risk Assessment [ J ]. Journal of Quality in Maintenance Engineering, 2007,13 ( 4 ) : 353 - 363.

二级参考文献12

  • 1赵修斌,王永生,姜恒乐,耿锋先.进近着陆系统电磁环境仿真研究[J].空军工程大学学报(自然科学版),2005,6(2):11-14. 被引量:9
  • 2赵修斌,王永生,姜恒乐.基于GTD的进近着陆系统多径效应仿真[J].系统仿真学报,2005,17(8):1864-1866. 被引量:8
  • 3马绍民.综合保障工程[M].北京:国防工业出版社,1995..
  • 4李建平.装备战场抢修理论与应用[M].兵器工业出版社,2000..
  • 5姜启源,谢金星,叶俊.数学模型[M].北京:高等教育出版社,2004.
  • 6Gerhard Greying.Status and Capabilities of Advanced Computer Based Analysis and Simulations for ATC-Navigation and Radar Systems-Examples and Results[A].Proceedings of the 5th International Symposium on Electronics in the Air Transport Industry[C].SEATI 2006.
  • 7Gerhard Greving.Advanced Numberical System Simulations for Navaids and Surveillance Radar-The Verification Problem[A].13thIFIS[C].Montreal/Canada:2004,173-186.
  • 8Hassan M,El-Sallabi,Pertti Vainikainen.A New Heuristic UTD Diffraction Coefficient for Prediction of Radio Wave Propagation[A].The 57th IEEE.Semiannual[C].2003,783-787.
  • 9Blanchard BS.Logistics Engineering and Management[M].Portland:Prentice Hall,1998.
  • 10陈涛捷.灰色预测模型的一种拓广[J].系统工程,1990,8(4):50-52. 被引量:146

共引文献126

同被引文献68

引证文献4

二级引证文献29

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部