Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Condition based maintenance policies under imperfect maintenance at
  scheduled and unscheduled opportunities   Motivated by the cost savings that can be obtained by sharing resources in a
network context, we consider a stylized, yet representative model, for the
coordination of maintenance and service logistics for a geographic network of
assets. Capital assets, such as wind turbines in a wind park, require
maintenance throughout their long lifetimes. Two types of preventive
maintenance are considered: planned maintenance at periodic, scheduled
opportunities, and opportunistic maintenance at unscheduled opportunities. The
latter type of maintenance arises due to the network context: when an asset in
the network fails, this constitutes an opportunity for preventive maintenance
for the other assets in the network.
  So as to increase the realism of the model at hand and its applicability to
various sectors, we consider the option of not-deferring and of deferring
planned maintenance after the occurrence of opportunistic maintenance. We also
assume that preventive maintenance may not always restore the condition of the
system to `as good as new'. By formulating this problem as a semi-Markov
decision process, we characterize the optimal policy as a control limit policy
(depending on the remaining time until the next planned maintenance) that
indicates on the one hand when it is optimal to perform preventive maintenance
and on the other hand when maintenance resources should be shared if an
opportunity in the network arises. In order to facilitate managerial insights
on the effect of each parameter on the cost, we provide a closed-form
expression for the long-run rate of cost for any given control limit policy
(depending on the remaining time until the next planned maintenance) and
compare the costs (under the optimal policy) to these of sub-optimal policies
that neglect the opportunity for resource sharing. We illustrate our findings
using data from the wind energy industry.

20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex