TY - GEN
T1 - System availability under redundancy sharing of standby components
AU - Jin, Tongdan
AU - Xie, Wei
AU - Liao, Haitao
AU - Otieno, Wilkistar
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/5/8
Y1 - 2015/5/8
N2 - Conventional approaches to system availability assurance usually revolve around reliability-redundancy allocation and spare parts provisioning. This paper proposes a new scheme called redundancy sharing to enhance the availability of k-out-of-n:G systems. Under the new scheme, hot standby components in one system can be transferred to other systems for which the number of functional components drops below k. Although redundancy sharing is frequently practiced in private and defense industries, the underlying theory is rarely investigated in literature. This paper makes an early attempt to estimate the system availability considering redundancy sharing, and further discuss its potential benefits to the overall fleet availability. We strive to achieve two objectives: 1) estimating system availability by jointly considering redundancy sharing, redundancy allocation, and spare parts inventory; and 2) demonstrating the effectiveness and benefit of redundancy sharing in a variety of operating conditions. Continuous-time Markov model and multi-echelon inventory theory are employed to characterize the operation and maintenance of small and large fleets, respectively.
AB - Conventional approaches to system availability assurance usually revolve around reliability-redundancy allocation and spare parts provisioning. This paper proposes a new scheme called redundancy sharing to enhance the availability of k-out-of-n:G systems. Under the new scheme, hot standby components in one system can be transferred to other systems for which the number of functional components drops below k. Although redundancy sharing is frequently practiced in private and defense industries, the underlying theory is rarely investigated in literature. This paper makes an early attempt to estimate the system availability considering redundancy sharing, and further discuss its potential benefits to the overall fleet availability. We strive to achieve two objectives: 1) estimating system availability by jointly considering redundancy sharing, redundancy allocation, and spare parts inventory; and 2) demonstrating the effectiveness and benefit of redundancy sharing in a variety of operating conditions. Continuous-time Markov model and multi-echelon inventory theory are employed to characterize the operation and maintenance of small and large fleets, respectively.
KW - k-out-of-n systems
KW - redundancy allocation
KW - redundancy sharing
KW - repairable inventory
UR - http://www.scopus.com/inward/record.url?scp=84945336636&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84945336636&partnerID=8YFLogxK
U2 - 10.1109/RAMS.2015.7105068
DO - 10.1109/RAMS.2015.7105068
M3 - Conference contribution
AN - SCOPUS:84945336636
T3 - Proceedings - Annual Reliability and Maintainability Symposium
BT - RAMS 2015 - 61st Annual Reliability and Maintainability Symposium, Proceedings and Tutorials 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 61st Annual Reliability and Maintainability Symposium, RAMS 2015
Y2 - 26 January 2015 through 29 January 2015
ER -