Seminar | January 26 | 4 p.m. | 4193 Etcheverry Hall
Hoda Bidkhori, UC Berkeley IEOR
Abstract: Process flexibility has been widely applied in many industries as a competitive strategy to improve responsiveness to demand uncertainty. The first part of the talk addresses the problem of managing process flexibility in a fairly general manufacturing system. In our model, each plant might have a different cost for adding flexibility or extra capacity. We model this problem as an adaptive optimization problem and discuss different approaches to solve it efficiently.
In the second part of the talk, we discuss a distribution-free model to evaluate the performance of process ﬂexibility structures when only the mean and partial expectation of the demand are known. We characterize the worst-case demand distribution under general concave objective functions and apply it to derive tight lower bounds for the performance of chaining structures under the balanced systems. In the third part of the talk, we examine the worst-case performance of flexibility designs under supply and demand uncertainties, where supply uncertainty can be in the form of either plant or arc disruptions.
Bio: Dr. Hoda Bidkhori has been an Assistant Professor in the Department of Industrial Engineering at University of Pittsburgh as of Fall 2015. Prior to this, Dr. Bidkhori worked as a Lecturer and as a Postdoctoral Researcher at the Massachusetts Institute of Technology. She holds a Ph.D. in Applied Mathematics from MIT. Her current research centers around data-driven decision-making, decision-making under uncertainty, and also the development and implementation of data-driven computationally tractable solutions for problems arising in healthcare, transportation, and inventory management.