Improved quality of input data for maintenance optimization using expert judgment

摘要

Most maintenance optimization models need an estimate of the so-called 'naked' failure rate function as input. In practice it is very difficult to estimate the 'naked' failure rate, because overhauls and other previentive maintenance actions tend to 'corrupt' the recorded lifeleng this. The purpose of this paper is to stress the importance of utilizing the knowledge of maintenance engineers, i.e., expert judgment, in addition to recorded equipment lifelengths, in order to get credible input data.