Optimal replacement for self-repairing shock models by general failure rate

1984 ◽  
Vol 21 (1) ◽  
pp. 108-119 ◽  
Author(s):  
Gary Gottlieb ◽  
Benny Levikson

A device is subject to a series of shocks which cause damage and eventually failure will occur at the time of arrival of one of the shocks. In between the shocks, the device is partially repaired as the cumulative damage decreases as some Markov process. The device must be replaced upon failure at some cost but it can also be replaced before failure at a lower cost. We consider the general case where the failure rate need not be increasing and replacement can be made at any time. The form of the optimal replacement policy is found and fairly general conditions are given for which a control limit policy is optimal.

1984 ◽  
Vol 16 (1) ◽  
pp. 15-15
Author(s):  
Gary Gotilieb ◽  
Benny Levikson

A device is subject to a series of shocks which cause damage and eventually failure will occur at the time of arrival of one of the shocks. In between the shocks, the device is partially repaired as the cumulative damage decreases as some Markov process. The device must be replaced upon failure at some cost but it also can be replaced before failure at a lower cost. We consider the general case where the failure rate need not be increasing and replacement can be made at any time. The form of the optimal replacement policy is found and fairly general conditions are given for which a control limit policy is optimal.


1984 ◽  
Vol 21 (01) ◽  
pp. 108-119
Author(s):  
Gary Gottlieb ◽  
Benny Levikson

A device is subject to a series of shocks which cause damage and eventually failure will occur at the time of arrival of one of the shocks. In between the shocks, the device is partially repaired as the cumulative damage decreases as some Markov process. The device must be replaced upon failure at some cost but it can also be replaced before failure at a lower cost. We consider the general case where the failure rate need not be increasing and replacement can be made at any time. The form of the optimal replacement policy is found and fairly general conditions are given for which a control limit policy is optimal.


1976 ◽  
Vol 13 (01) ◽  
pp. 108-117 ◽  
Author(s):  
Richard M. Feldman

Consider a system that is subject to a sequence of randomly occurring shocks; each shock causes some damage of random magnitude to the system. Any of the shocks might cause the system to fail, and the probability of such a failure is a function of the sum of the magnitudes of damage caused from all previous shocks. The purpose of this paper is to derive the optimal replacement rule for such a system whose cumulative damage process is a semi-Markov process. This allows for both the time between shocks and the damage due to the next shock to be dependent on the present cumulative damage level. Only policies within the class of control-limit policies will be considered; namely, policies with which no action is taken if the damage is below a fixed level, and a replacement is made if the damage is above that. An example will be given illustrating the use of the optimal replacement rule.


1976 ◽  
Vol 13 (1) ◽  
pp. 108-117 ◽  
Author(s):  
Richard M. Feldman

Consider a system that is subject to a sequence of randomly occurring shocks; each shock causes some damage of random magnitude to the system. Any of the shocks might cause the system to fail, and the probability of such a failure is a function of the sum of the magnitudes of damage caused from all previous shocks.The purpose of this paper is to derive the optimal replacement rule for such a system whose cumulative damage process is a semi-Markov process. This allows for both the time between shocks and the damage due to the next shock to be dependent on the present cumulative damage level.Only policies within the class of control-limit policies will be considered; namely, policies with which no action is taken if the damage is below a fixed level, and a replacement is made if the damage is above that.An example will be given illustrating the use of the optimal replacement rule.


2014 ◽  
Vol 29 (1) ◽  
pp. 77-98 ◽  
Author(s):  
Bora Çekyay ◽  
Süleyman Özekici

We analyze optimal replacement and repair problems of semi-Markov missions that are composed of phases with random sequence and durations. The mission process is the minimal semi-Markov process associated with a Markov renewal process. The system is a complex one consisting of non-identical components whose failure properties depend on the mission process. We prove some monotonicity properties for the optimal replacement policy and analyze the optimal repair problem under different cost structures.


Author(s):  
Shey-Huei Sheu ◽  
Tzu-Hsin Liu ◽  
Wei-Teng Sheu ◽  
Zhe-George Zhang ◽  
Jau-Chuan Ke

Sign in / Sign up

Export Citation Format

Share Document