Track:
Deployed Application Case Study Papers
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Abstract:
We describe the implementation and deployment of an
software decision support tool for themaintenance planning
of gas turbines. The tool is used to plan the maintenance
for turbines manufactured and maintained by
Siemens Industrial Turbomachinery AB (SIT AB) with
the goal to reduce the direct maintenance costs and the
often very costly production losses during maintenance
downtime. The approach is validated on a real-world
scenario based on an oil production facility. We also
compare the performance of our algorithm with results
from using mixed integer linear programming, and discuss
details regarding the implementation and its deployment.
The experimental results indicate that downtime
reductions up to 65% can be achieved, compared
to traditional preventive maintenance. In addition, using
our tool is expected to improve availability up to 1%and
reduce number of planned maintenance days with 12%.
Compared to a mixed integer programming approach,
our algorithm not optimal, but is several orders of magnitude
faster and produces results which are useful in
practice. Our test results and SIT AB’s estimates based
on operational use both indicate that significant savings
can be achieved by using our software tool, compared
to maintenance plans with fixed intervals.