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