Optimal Maintenance Interventions in Partially Observable Multi Component Systems

M. Murat Fadıloğlu

In today's world, many remotely operated systems are becoming ever more complex and the number of components in these systems keeps on growing. Examples include water pump systems for irrigation or mining purposes, off-shore power generation systems --the focus application area for this talk. Such systems are typically mission-critical for their users. Hence, it is of utmost importance to keep them in operating condition via well-designed maintenance policies. It makes sense for such policies to make use of whatever information is available no matter how limited. This approach is commonly labeled as condition-based maintenance (CBM) planning. In this talk, we will present a novel methodology to manage maintenance interventions as well as spare part quantity decisions for such systems. Our methodology is based on reducing the state space of the multi-component system and optimizing the resulting reduced-state Markov decision process via a linear programming approach. This methodology is highly scalable and capable of solving large problems that cannot be approached with the previously existing solution procedures due to the curse of dimensionality.

Short Bio

Murat Fadıloğlu is a faculty member at Sabancı University’s Faculty of Engineering and Natural Sciences. He earned his B.S. in Electrical Engineering from Bilkent University in 1993, and went on to complete his Ph.D. at the University of Florida in 1998. Over the years, he’s taught at Bilkent University, Izmir University of Economics, Yaşar University, and the American University of the Middle East. His research covers a wide range of areas — from Reliability and Maintenance, Energy Systems, and Inventory/Production Systems, to Queueing Models, Stochastic Modeling, Dynamic Programming, State Estimation, and Data Analytics. Lately, he’s been passionate about designing innovative courses that blend computer science and industrial engineering. A strong believer in the power of interdisciplinary solutions, he champions a future where academic fields work hand-in-hand.

Venue

Friday, May 9, 2025, 4.00 pm

IE Building, Halim Doğrusöz Auditorium (Ground Floor -03)