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An Approach to the Minimization of Misclassification in the Repair of Equipment

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1 Author(s)
Gross, Alan J. ; RAND Corporation, Santa Monica, Calif.; California Center for Health Services Research, School of Public Health, University of California, Los Angeles, Calif.; Veterans Administration, Western Research Support Center, Sepulveda, Calif.

A problem which can be quite costly to an agency involved with repairable equipment on a large scale is the misclassification which can arise when repair work is initiated. Often, a piece of equipment finds its way to the repair shop even though it has not experienced a failure. On the other hand, a failed component may not be repaired properly because the cause of failure is not properly diagnosed; thus a delay will occur in returning the component to service. A mathematical model is developed which accounts for the two misclassification possibilities and a procedure is given which minimizes the misclassification probabilities, contingent on a fixed amount of available capital for this purpose. The model is of the Markov type with the simplifying assumption of constant transition rates (over time) among the various states.

Published in:

Reliability, IEEE Transactions on  (Volume:R-19 ,  Issue: 1 )