Please use this identifier to cite or link to this item:
|Title:||Confidence interval for optimal preventive maintenance interval and its applications in maintenance planning||Authors:||Halim, T.
|Keywords:||Age replacement policy
Block replacement policy
Optimal replacement interval
Preventive maintenance planning
|Issue Date:||Jan-2009||Citation:||Halim, T., Tang, L.-C. (2009-01). Confidence interval for optimal preventive maintenance interval and its applications in maintenance planning. International Journal of Advanced Manufacturing Technology 40 (1-2) : 203-213. ScholarBank@NUS Repository. https://doi.org/10.1007/s00170-007-1315-2||Abstract:||Replacement problems of deteriorating systems have been extensively studied. Typically, the time between failures is characterized by lifetime distribution in which the parameters are estimated from historical data. On the other hand, in most cases, the work focuses on determining the optimal replacement schedule by assuming that model parameters are constant. Here, the issues arising from the use of estimated parameters are studied and the results are applied to opportunistic replacement. Also, a graphical approach is proposed to obtain the confidence limits for the optimal replacement time, considering the key parameters of the two popular replacement models, namely, the age replacement model and the block replacement model. The applications of the proposed confidence interval are presented, namely, determination of the window of opportunity for minimum cost, maintenance scheduling given erratic customer demand, and opportunistic maintenance for multi-component systems. © 2007 Springer-Verlag London Limited.||Source Title:||International Journal of Advanced Manufacturing Technology||URI:||http://scholarbank.nus.edu.sg/handle/10635/63064||ISSN:||02683768||DOI:||10.1007/s00170-007-1315-2|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 2, 2020
WEB OF SCIENCETM
checked on Nov 24, 2020
checked on Nov 30, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.