TY - JOUR
T1 - Optimization of stochastic maintenance policies
AU - Menipaz, Ehud
N1 - Funding Information:
The present study examines various inspection policy mod,~ls, also known in reliability literature as preparedness models. These types of models deal with stochastically faring systems, in which failure is detected by inspection only. This research concentrates on the problem of finding the optimal inspection policy for a single stochastic system with variable maintenance costs while taking into consideration a pmitive discount factor. Badow and Proschan \[I \] and Hunter \[7\]d iscussed a model for a single stochastic system with a given life distribution. The authors found an optimal policy for This paper has been partmlly supported by a National Research Council grant No. A-1427.
PY - 1978/1/1
Y1 - 1978/1/1
N2 - The present study examines various inspection policy models, also known in reliability literature as preparedness models. These types of models deal with stochastically failing systems, in which failure is detected by inspection only. The present study deals with two yet unsolved problems in the field of maintenance preparedness models. The first is the analysis of various models and various objective functions while taking into consideration a positive discount factor. The second is the analysis of those models while the maintenance costs are varying in one way or another during the period of optimization. Different modes of inspection of both pure and mixed strategies are analyzed. The objective functions are set forth and solved by both a differentiation method and a dynamic programming approach.
AB - The present study examines various inspection policy models, also known in reliability literature as preparedness models. These types of models deal with stochastically failing systems, in which failure is detected by inspection only. The present study deals with two yet unsolved problems in the field of maintenance preparedness models. The first is the analysis of various models and various objective functions while taking into consideration a positive discount factor. The second is the analysis of those models while the maintenance costs are varying in one way or another during the period of optimization. Different modes of inspection of both pure and mixed strategies are analyzed. The objective functions are set forth and solved by both a differentiation method and a dynamic programming approach.
UR - http://www.scopus.com/inward/record.url?scp=49349123886&partnerID=8YFLogxK
U2 - 10.1016/0377-2217(78)90105-4
DO - 10.1016/0377-2217(78)90105-4
M3 - Article
AN - SCOPUS:49349123886
SN - 0377-2217
VL - 2
SP - 97
EP - 106
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 2
ER -