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Recent Advances in Selective Maintenance from 1998 to 2014
  • ISSN号:1673-5196
  • 期刊名称:《兰州理工大学学报》
  • 时间:0
  • 分类:TJ[兵器科学与技术]
  • 作者机构:[1]Department ofInformation Service, Xi'an Communications Institute, Xi'an 710106, China, [2]Department of Basic Courses, Xi 'an Communications Institute, Xi 'an 710106, China
  • 相关基金:This work was supported by the National Science Foundation of China (Grant No. 61305083).
中文摘要:

In view of the high complexity of the objective world, an economic dependence between subsystems(paired and unpaired) is proposed, and then the maintenance cost and time under different economic dependences are formulated in a simple and consistent manner. Selective maintenance problem under economic dependence(EDSMP) is presented based on a series–parallel system in this paper. A case study shows that the system reliability is promoted to a certain extent, which can validate the validity of the EDSMP model. The influence of the ratio of set-up cost on system performance is mainly discussed under different economic dependences. Several existing improvements of classical exhaust algorithm are further modified to solve a large sized EDSMP rapidly. Experimental results illustrate that these improvements can reduce CPU time significantly.Furthermore the contribution of each improvement is defined here, and then their contributions are compared thoroughly.

英文摘要:

In view of the high complexity of the objective world, an economic dependence between subsystems (paired and unpaired) is proposed, and then the maintenance cost and time under different economic dependences are formulated in a simple and consistent manner. Selective maintenance problem under economic dependence (EDSMP) is presented based on a series-parallel system in this paper. A case study shows that the system reliability is promoted to a certain extent, which can validate the validity of the EDSMP model. The influence of the ratio of set-up cost on system performance is mainly discussed under different economic dependences. Several existing improvements of classical exhaust algorithm are further modified to solve a large sized EDSMP rapidly. Experimental results illustrate that these improvements can reduce CPU time significantly. Furthermore the contribution of each imorovement is defined here. and then their contributions are comnared thoroughly.

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期刊信息
  • 《兰州理工大学学报》
  • 北大核心期刊(2011版)
  • 主管单位:甘肃省教委
  • 主办单位:兰州理工大学
  • 主编:李有堂
  • 地址:甘肃省兰州市兰工坪路287号
  • 邮编:730050
  • 邮箱:journal@lut.cn
  • 电话:0931-2756301
  • 国际标准刊号:ISSN:1673-5196
  • 国内统一刊号:ISSN:62-1081/T
  • 邮发代号:54-72
  • 获奖情况:
  • 甘肃高等校优秀学术期刊,全国优秀高校自然科学学报及教育部优秀科技期刊评...,第二届国家期刊奖百种重点期刊
  • 国内外数据库收录:
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  • 被引量:6651