Abstract
This paper presents a framework for assessing the impact of the data collection process on the validity of key measures in reliability. The quality of data is affected by many organisational and behavioural factors. The aims of developing this framework are to (1) identify inputs/steps that have the most significant impact on the quality of key performance indicators such as MTTF (mean time to failure) and MTTR (mean time to repair), (2) identify ‘weak’ links in the data collection process, and (3) identify potential remedial actions. Development of this framework will assist the understanding of assumptions used in reliability calculations and improve the quality of underlying data and the data collection process. Consequently, this is a vital step in the continued development and use of data based decision-making models for reliability assessment.
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6. References
Wang, R. Y. & Strong, D. M. (1996) Beyond accuracy: What data quality means to consumers. Journal of Management Information Systems, 12(4), 5–34.
Koronios, A. & Lin, S. (2004) Key issues in achieving data quality in Asset Management. VETOMAC-3/ACSIM-2004 (Vibration Engineering & Technology of Machinery, Asia-Pacific Conference on System Integrity & Maintenance 2004, December 6–9) New Delhi.
Sandtorv, H. A., Hokstad, P. & Thompson, D. W. (1996) Practical experiences with a data collection project: the OREDA project. Reliability Engineering and System Safety, 51, 159–167.
Lee, Y.W. & Strong, D.M. (2004) Knowing-Why about Data processes and Data quality. Journal of Management Information Systems, 20(3), 13–39.
International Standard: Petroleum and natural gas industries — Collection and exchange of reliability and maintenance data for equipment, ISO 14224 (1999).
Hodkiewicz, M.R., Coetzee, J.L., Dwight, R.A. & Sharp, J.M. (2006) The importance of knowledge management to the Asset Management Process, Business Briefings: Oil and Gas Processing Review 2006, 43–45.
Gilb, T. and Weinberg, G. (1977) Humanized Input: Technique for Reliable Keyed Input, Winthrop Publishers, Inc.
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Hodkiewicz, M., Kelly, P., Sikorska, J., Gouws, L. (2006). A Framework to Assess Data Quality for Reliability Variables. In: Mathew, J., Kennedy, J., Ma, L., Tan, A., Anderson, D. (eds) Engineering Asset Management. Springer, London. https://doi.org/10.1007/978-1-84628-814-2_15
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DOI: https://doi.org/10.1007/978-1-84628-814-2_15
Publisher Name: Springer, London
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