Please use this identifier to cite or link to this item: https://doi.org/10.1109/RAMS.2008.4925769
Title: An age-adjusted comparison of field failure data for repairable systems
Authors: Halim, T. 
Tang, L.-C. 
Keywords: Age Standardization
Confounding
Data Stratification
Maintenance Effectiveness
MCF Plot
Issue Date: 2008
Source: Halim, T.,Tang, L.-C. (2008). An age-adjusted comparison of field failure data for repairable systems. Proceedings - Annual Reliability and Maintainability Symposium : -. ScholarBank@NUS Repository. https://doi.org/10.1109/RAMS.2008.4925769
Abstract: The conventional calendar-based mean cumulative function (MCF) plot is useful in monitoring the field reliability of a population of repairable systems deployed in a large quantity. It is simple and easily understood by management. However, it is age-confounded when the system population is heterogeneous with age. Assuming that the systems follow the well-known "Bathtub" behavior, the population which consists of a higher proportion of aged systems will perform badly on the MCF plot compared to another population made up of mainly newer systems. Hence, direct comparisons between the two populations may not be fair. This paper illustrates a few simple steps that aid in mitigating such age heterogeneity issue prior to plotting the MCF. The ageadjusted MCF allows a fairer comparison of maintenance performance between the populations. The applicability of the proposed approach is demonstrated using actual field failure data. The case study shows that if differences in system age compositions are not accounted for, different conclusions could be drawn which could be detrimental to the maintenance personnel morale. Worse still, precious maintenance resources might be channeled to the wrong location. Other than age, the proposed approach can be easily extended to adjust for other system attributes. © 2008 IEEE.
Source Title: Proceedings - Annual Reliability and Maintainability Symposium
URI: http://scholarbank.nus.edu.sg/handle/10635/72279
ISBN: 142441461X
ISSN: 0149144X
DOI: 10.1109/RAMS.2008.4925769
Appears in Collections:Staff Publications

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