An inspection policy for a stochastically failing single-unit system

Author(s):  
S. Okumura ◽  
N. Okino
2014 ◽  
Vol 488-489 ◽  
pp. 1272-1276
Author(s):  
Wen Bin Wang ◽  
Hui Ying Wang ◽  
Rui Peng

This paper proposes a three-phase inspection policy model based on a three-stage failure process for a single unit system. Different from existing works which usually assume unique inspection interval, the three-phase inspection policy allows the inspection policy to change according to the identified state of the unit. The possible renewal scenarios are considered based on which the cost model is proposed. Numerical example is presented, and the results clearly reveal the advantage of the three-phase inspection policy over the unique interval inspection.


2001 ◽  
Vol 38 (4) ◽  
pp. 872-881 ◽  
Author(s):  
F. G. Badía ◽  
M. D. Berrade ◽  
Clemente A. Campos

We present a new inspection policy useful when testing is needed to detect failures of a single-unit system. It is supposed that tests may fail and give an erroneous result. The inspection policy minimizing cost per unit of time for an infinite time span is also discussed. In addition, we study the behaviour of the optimum policy for some time to failure distributions often assumed in reliability: exponential and Pareto.


2001 ◽  
Vol 38 (04) ◽  
pp. 872-881 ◽  
Author(s):  
F. G. Badía ◽  
M. D. Berrade ◽  
Clemente A. Campos

We present a new inspection policy useful when testing is needed to detect failures of a single-unit system. It is supposed that tests may fail and give an erroneous result. The inspection policy minimizing cost per unit of time for an infinite time span is also discussed. In addition, we study the behaviour of the optimum policy for some time to failure distributions often assumed in reliability: exponential and Pareto.


2014 ◽  
Vol 10 (2) ◽  
pp. 5-19 ◽  
Author(s):  
Ashish Kumar ◽  
Monika Saini

Abstract This paper deals with a reliability model developed for a single-unit system which goes for preventive maintenance after a pre-specific time ‘t’ up to which no failure occurs. There is a single server who takes some time to arrive at the system for doing repair activities. The unit does not work as new after repair at complete failure and so called the degraded unit. The degraded unit is replaced by new one after its failure with some replacement time. The failure time, preventive maintenance time, replacement time and repair time of the unit are taken as Weibull distributed with common shape parameter and different scale parameters. The switching devices are perfect. The system is observed at suitable regenerative epochs to obtain various measures of system effectiveness of interest to system designers and operation managers.


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