Optimum maintenance strategy under uncertainty in the lifetime distribution

Bram de Jonge, Warse Klingenberg, Ruud Teunter, Tiedo Tinga

Research output: Contribution to journalArticleAcademicpeer-review

54 Citations (Scopus)
1 Downloads (Pure)


The problem of determining the optimal maintenance strategy for a machine given its lifetime distribution has been studied extensively. Solutions to this problem are outlined in the academic literature, prescribed in professional handbooks, implemented in reliability engineering software systems and widely used in practice. These solutions typically assume that the lifetime distribution and its parameter values are known with certainty, although this is usually not the case in practice. In this paper we study the effect of parameter uncertainty on the optimum age-based maintenance strategy. The effect of uncertainty is evaluated by considering both a theoretical uniform lifetime distribution and a more realistic Weibull lifetime distribution. The results show that admitting to the uncertainty does influence the optimal maintenance age and also provides a quantifiable cost benefit. The results can help maintenance managers in making maintenance decisions under uncertainty, and also in deciding when it is worthwhile to invest in advanced data improvement procedures.
Original languageEnglish
Pages (from-to)59-67
JournalReliability engineering & system safety
Publication statusPublished - 2015


  • METIS-306760
  • IR-92843


Dive into the research topics of 'Optimum maintenance strategy under uncertainty in the lifetime distribution'. Together they form a unique fingerprint.

Cite this