Abstract
Ruud H. Teunter will discuss recent research he did together with two PhD students and colleagues on Condition-based Production and Maintenance Optimization. The research was motivated by company input during a research project together with several major oil and gas companies. That project was on predictive, condition based maintenance; but several companies indicated that lead times for planning maintenance (e.g. getting the parts, people and tools ready) were often long, and so production sometimes had to be slowed down to reduce deterioration and thereby reduce the risk of failures before maintenance could take place. Based on these observations, the research on Condition-based Production and Maintenance was started. As a first approach, the maintenance time was assumed to be fixed and there was a focus on optimizing the production rate until that moment. Then, the joint optimization of production and maintenance based on (real time) condition data was considered. This was done in general, but also for the off-shore industry in particular where weather uncertainties complicate maintenance activities.