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ECE Seminar* Speaker: Dr. Yisha Xiang, Assistant Professor, Texas Tech University

When: Friday, November 5, 2021
1:00 PM - 2:00 PM
Where: > See description for location
Cost: Free
Description: Topic: Data-Driven Markov Decision Processes with Parameter Uncertainty: Application to Maintenance and Remanufacturing Planning

Zoom Teleconference: https://umassd.zoom.us/j/96716388828

Abstract:
We consider the problem of maintenance and remanufacturing planning with the objective of minimizing the total operational and environmental costs. Determining the optimal maintenance and remanufacturing timing, first and foremost, requires modeling of the state transitions of a system. The estimation of these probabilities, however, often suffers from data inadequacy and is far from accurate, resulting in serious degradation in performance. To mitigate the impacts of the uncertainty in transition probabilities, we develop a novel data-driven modeling framework for maintenance/remanufacturing planning in which decision makers can remain robust with respect to statistical estimation errors. We model this planning problem as a robust Markov decision process, and construct ambiguity sets that contain the true transition probability distributions with certainty using historical data. We further establish structural properties of optimal robust policies and insights for maintenance and remanufacturing planning. A computational study on the NASA turbofan engine shows that our data-driven decision framework consistently yields better worst-case performances and higher reliability of the performance guarantee.

Biography:
Dr. Yisha Xiang is the E. L. Derr Assistant Professor in the Department of Industrial, Manufacturing & Systems Engineering at Texas Tech University. Her current research and teaching involve data-driven decision-making under uncertainty and statistical machine learning. Her research has been funded by National Science Foundation, including a CAREER grant, DOE, and industry. She was the recipient of the P.K. McElroy award, Stan Oftshun award, and Doug Ogden award for best papers at the Reliability and Maintainability Symposium. She received her BS in Industrial Engineering from Nanjing University of Aero. & Astro., China, and MS and PhD in Industrial Engineering from University of Arkansas. She is an Associate Editor for IISE Transactions and IEEE Transactions Automation Science and Engineering, and she is a member of IISE and INFORMS.

The Seminars is open to the public free of charge.

*For further information, please contact Dr. Honggang Wang at 508.999.8469, or via email at hwang1@umassd.edu.
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering, STEM