Faculty of Engineering and Natural Sciences
FENS IE SEMINARS
Bayes-Optimal Reactive and Proactive Maintenance Control Policy for a Deteriorating Machine
Irvin Cemil Schick
Massachusetts Institute of Technology
This talk will address the problem of optimal decision-making for performing maintenance on a deteriorating machine from the viewpoint of Bayes-optimality. Given an observation
window containing recent product quality, and the time elapsed since the most recent maintenance, we seek the policy that minimizes the expected total cost over a given optimization horizon. The deteriorating machine is modeled as a partially observable Markov process, and dynamic programming is used to formulate the optimal control policy. Knowledge of the time elapsed since the most recent maintenance results in a more sensitive (and realistic) control strategy, and makes it possible to schedule future maintenance when maintenance is not needed immediately. Furthermore, it helps mitigate the influence of delays when a significant amount of time elapses between the production and inspection of parts---because, for example, a long physical distance separates the machine from the inspection station that assesses the quality of its products. Thus, the method is applicable not only to machines in isolation, but also to machines embedded in a production line. This talk covers joint work with Gianpietro Bertuglia and Stanley B. Gershwin.
Irvin Cemil Schick was born in
Istanbul. He received his B.S., M.S., and Ph.D. from the Massachusetts Institute of Technology, where he is currently a research scientist. He has worked in industry, as well as teaching at
University, M.I.T., and
University. His main research interests are estimation, stochastic systems, and statistical decision theory, applied to manufacturing processes and complex data networks.
Wednesday, 3 December 2008, 13:40-14:30,