基于需求智能感知的军用航材保障模式研究
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摘要
航材保障是航空兵部队保障的重要组成部分,航材的保障模式决定着整个航空维修的效率。为提高航材库存抗冲击的能力,解决现有保障模式中航材库存设置不合理,需求信息传导不通畅的问题,在分析现行航材保障模式的基础上,利用ABC航材分类法建立了航材库存的缓冲池,将RFID技术融入航材保障,提出了实现智能感知的技术支撑,构建了能够智能感知航材需求的保障模式,对合理设置航材库存,加强航材供应链能力提出了设想,在保障军事效益的同时,节约航材管理成本,提高航材保障效率。
The aviation material support is an important part of the air force support, and the support mode of the aviation material determines the efficiency of the whole aviation maintenance. In order to improve the ability of aviation material inventory to resist impact, and to solve the problems of unreasonable air material inventory setting and impeded transmission of demand information in the existing support mode, this paper analyzes the current aviation material support mode. The buffer pool of aviation material inventory is established by using ABC classification method, the RFID technology is integrated into the aviation material guarantee, the technical support to realize intelligent perception is put forward,and the guarantee mode of intelligently perceiving the air material demand is constructed. The assumption is put forward to rationally set up the aviation material inventory and strengthen the capability of the aviation material supply chain. At the same time, saving the air material pipe while guaranteeing the military benefit manage the cost to improve the efficiency of air material support.
The aviation material support is an important part of the air force support, and the support mode of the aviation material determines the efficiency of the whole aviation maintenance. In order to improve the ability of aviation material inventory to resist impact, and to solve the problems of unreasonable air material inventory setting and impeded transmission of demand information in the existing support mode, this paper analyzes the current aviation material support mode. The buffer pool of aviation material inventory is established by using ABC classification method, the RFID technology is integrated into the aviation material guarantee, the technical support to realize intelligent perception is put forward,and the guarantee mode of intelligently perceiving the air material demand is constructed. The assumption is put forward to rationally set up the aviation material inventory and strengthen the capability of the aviation material supply chain. At the same time, saving the air material pipe while guaranteeing the military benefit manage the cost to improve the efficiency of air material support.
引文
[1] 蒋平清.RFID技术在航空维修和航材管理中的应用[J].中国高新技术企业,2016(2):53-54.
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[3] 丁晓妮,李威.基于物联网技术的智能航材机务管理系统[J].科技传播,2014,8(15):221-222.
[4] 董健康,夏芝伟,陈静杰.基于RFID技术的航材智能库存系统设计[J].制造业自动化,2013,12(35):43-46.
[5] 宋立明.基于RFID的航材管理数据库及数据挖掘研究[D].天津:中国民航大学,2012.
[6] 刘国庆.基于供应链的军队航材库存管理研究[D].武汉:武汉理工大学,2012.
[7] 修树娟,张永茂.合理设计缓冲池,提高数据库效率[J].科技信息,2010,(30):659.
[8] 鲍勃·特里比尔科克,孙立.RFID技术在航空业的应用现状[J].航空维修与工程,2008(5):20-22.
[9] 高建伟.数据挖掘在师资人才管理中的应用[D].成都:成都理工大学,2005.
[10] 任鑫,等.“智慧后勤装备保障体系”构建探析[J].四川兵工学报,2015,36(8):78-81.
[11] 刘畅,宋飞,鄢欢,张思东.基于自学习选路算法的多路径并行传输[J].电子学报,2013,41(7):1290-1296.
[12] 朱新宇,李宝国.RFID技术推动民航安全高效管理[J].西安航空学院学报,2016,34(1):55-58.
[13] 王金鹏,沈顺成.现代航材管理理念在我军航材管理上的应用[J].中国水运·学术版,2007,7(2):179-180.
[14] 李卫灵,张素琴,李丽.航材全寿命管理研究[J].价值工程,2010,29(34):18-19.
[15] 侯甲凯.我国航材管理现状及发展趋势研究[J].现代商贸工业,2013,25(14):91-92.
[16] 马应欣,张作刚.基于AHP和模糊方法的库存航材ABC分类模型[J].军事物流,2008,27(2):130-133.
[2] 仲小波.RFID技术在航空维修和航材管理中的应用[D].南京:南京航空航天大学,2011.
[3] 丁晓妮,李威.基于物联网技术的智能航材机务管理系统[J].科技传播,2014,8(15):221-222.
[4] 董健康,夏芝伟,陈静杰.基于RFID技术的航材智能库存系统设计[J].制造业自动化,2013,12(35):43-46.
[5] 宋立明.基于RFID的航材管理数据库及数据挖掘研究[D].天津:中国民航大学,2012.
[6] 刘国庆.基于供应链的军队航材库存管理研究[D].武汉:武汉理工大学,2012.
[7] 修树娟,张永茂.合理设计缓冲池,提高数据库效率[J].科技信息,2010,(30):659.
[8] 鲍勃·特里比尔科克,孙立.RFID技术在航空业的应用现状[J].航空维修与工程,2008(5):20-22.
[9] 高建伟.数据挖掘在师资人才管理中的应用[D].成都:成都理工大学,2005.
[10] 任鑫,等.“智慧后勤装备保障体系”构建探析[J].四川兵工学报,2015,36(8):78-81.
[11] 刘畅,宋飞,鄢欢,张思东.基于自学习选路算法的多路径并行传输[J].电子学报,2013,41(7):1290-1296.
[12] 朱新宇,李宝国.RFID技术推动民航安全高效管理[J].西安航空学院学报,2016,34(1):55-58.
[13] 王金鹏,沈顺成.现代航材管理理念在我军航材管理上的应用[J].中国水运·学术版,2007,7(2):179-180.
[14] 李卫灵,张素琴,李丽.航材全寿命管理研究[J].价值工程,2010,29(34):18-19.
[15] 侯甲凯.我国航材管理现状及发展趋势研究[J].现代商贸工业,2013,25(14):91-92.
[16] 马应欣,张作刚.基于AHP和模糊方法的库存航材ABC分类模型[J].军事物流,2008,27(2):130-133.