Title :
Reliability Growth Apportionment
Author :
Byers, James K. ; Galli, Donald H.
Author_Institution :
Dept of Mathematics & Computer Science; The University of Tennessee at Martin, TN 99336 USA.
Abstract :
A method is presented for apportioning reliability growth to the subsystems that make up a system in order to achieve the required reliability at least cost. Reliability growth apportionment is handled as an s-expected cost minimization problem subject to the constraint of meeting a system reliability requirement. The problem is formulated in terms of Duane´s reliability growth model, and is solved using geometric programming. The method can be useful in the early stages of system design to determine subsystem reliability growth that will allow a system reliability requirement to be met, and in the latter stages of system design when reliability has fallen short of the required goal and improvements are necessary.
Keywords :
Cost function; Failure analysis; Government; Maximum likelihood estimation; Reliability theory; Statistical analysis; Statistics; System testing; Apportionment; Geometric programming; Reliability growth;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.1977.5220138