Integration of Maintainence and Scheduling
J. Christopher Beck
Maliheh Aramon Bajestani
Late repair of an expensive asset like fighter aircraft can significantly decrease its utilization;
a dull drill-bit can significantly slow down production; contaminated ultra-clean equipment can
significantly increase the number of defective products. However, a good and online maintenance
practice can be a remedy.
Production scheduling problems determine lot sizes, evaluate capacity needs, assign production
activities to machines and find their sequence on each machine. However, a production system
is dynamic and uncertain. Machine breakdowns make production unavailable for varying periods
of time. Imperfect processes produce defective items at any stage in the production process.
Deteriorating machine conditions are the main source of uncertainty in both machine breakdowns
and imperfect processes. Using information about machine condition and developing models and
techniques that integrate maintenance reasoning into production scheduling problems are
the goal of this project. We believe the value of integration will help with more efficient
use of resources, greater production and less waste.
University of Toronto Fellowship,
C-MORE Research Assistantship
- Aramon Bajestani, M. & Beck, J.C., "Scheduling a Capacity-Constrained Aircraft Repair Shop with Dynamic Repair Arrivals", Submitted to the Journal of Scheduling, 2011.
- Aramon Bajestani, M. & Beck, J.C., "Scheduling an Aircraft Repair Shop", Proceedings of the Twenty-First International Conference on Automated Planning and Scheduling (ICAPS2011), 10-17, 2011.
- Aramon Bajestani, M. & Beck, J.C., "Scheduling a Dynamic Aircraft Repair Shop", Proceedings of the ICAPS2011 Workshop on Scheduling and Planning Applications (SPARK2011), Freiburg, Germany, 2011.