Abstract
Existing maintainability prediction-evaluation procedures are in need of certain major refinements, namely; 1) ability to include design characteristics which are fixed during the earlier stages of the design process; 2) more precise and sensitive measurement of the troubleshooting process; 3) a basis for relating data taken under laboratory conditions to data taken under field conditions; and 4) the development of indices based on an explanatory model which includes functional relationships based on measurable parameters. Recent work by Rouse et al (1978a, 1978b) has begun to address items (2) and (4) through controlled experiments in the laboratory. The present paper provides an explanatory model and relates it to equipment design parameters and to repair time data for operational equipment taken under both laboratory and field conditions.
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References
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© 1981 Plenum Press, New York
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Wohl, J.G. (1981). System Complexity, Diagnostic Behaviour, and Repair Time: A Predictive Theory. In: Rasmussen, J., Rouse, W.B. (eds) Human Detection and Diagnosis of System Failures. NATO Conference Series, vol 15. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-9230-3_15
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DOI: https://doi.org/10.1007/978-1-4615-9230-3_15
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