Title
An optimal maintenance model for a combination of secondhand–new or outdated–updated system
Abstract
In this paper, we study a general maintenance model. Assume that at the beginning, a secondhand (outdated) system is installed, thereafter it will be replaced by a new (updated) system. Two types of compound maintenance policy are used. A policy (t,T) is to replace the secondhand (outdated) system at time t and replace a new (updated) system at time T; whereas a policy (n,N) is to replace the secondhand (outdated) system at the time of nth failure and replace a new (updated) system at the time of Nth failure. We show that an optimal policy (n∗,N∗) is at least as good as an optimal policy (t∗,T∗). Furthermore, for a monotone process model, by the semi-Markov decision process approach, an optimal policy (n∗,N∗) is determined explicitly for maximizing the total expected discounted reward.
Year
DOI
Venue
1999
10.1016/S0377-2217(98)00369-5
European Journal of Operational Research
Keywords
Field
DocType
Stopping time,Delayed renewal process,Strong Markov property,Semi-Markov decision process,Expected discounted reward
Mathematical optimization,Operations research,Optimal maintenance,Decision process,Stopping time,Mathematics,Operations management,Monotone polygon
Journal
Volume
Issue
ISSN
119
3
0377-2217
Citations 
PageRank 
References 
0
0.34
1
Authors
1
Name
Order
Citations
PageRank
Yeh Lam113721.84