Title :
Minimization of Misclassification of Component Failures in a Two-Component System
Author_Institution :
California Center for Health Services Research, University of California, Los Angeles, and the Veterans Administration, Western Research Support Center, Sepulveda, Calif.
Abstract :
In this paper we assume we are repairing two-component series systems that have failed or are malfunctioning. It is further assumed that when a system is brought into the repair shop, it is not known with certainty which component has failed. If the repairman begins repairing the wrong component, a misclassification cost is incurred. It is also assumed that some resources are available for the purchase and operation of a failure detection mechanism that, depending on the amount allocated for detection, enhances the probability of correctly detecting the failed component. A study is then made that is designed to minimize the expected cost of failure detection. Examples are included.
Keywords :
Costs; Error correction; Inspection; Lungs; Medical diagnostic imaging; Public healthcare; Reliability engineering; Surgery; Systems engineering and theory;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.1970.5216418