2021 Annual Meeting

Session: Design and Operations Under Uncertainty

Co-Chairs

Dinesh Krishnamoorthy, Harvard John A. Paulson School of Engineering and
Francesco Rossi, Purdue University

Presentations

08:00 AM

(417a) Nested Sampling Algorithm for Probabilistic Design Space Definition with Recourse Action
Benoit Chachuat, Kennedy Kusumo, Cornel Marck, Nilay Shah

08:19 AM

(417b) Rare-Event Sampling for Efficient Scenario Generation for Stochastic Programs
David Young, Selen Cremaschi, Mark Carpenter

08:38 AM

(417c) Design Centering through Derivative-Free Optimization
Fei Zhao, Salvador Garcia-Munoz, Stephen D. Stamatis, Ignacio Grossmann

08:57 AM

(417d) Random Field Optimization
Joshua Pulsipher, Victor M. Zavala

09:16 AM

(417e) Assessing the Demand Response Potential of Power-Intensive Processes By Stochastic Scheduling Optimization
Sonja Germscheid, Manuel Dahmen, Alexander Mitsos

09:35 AM

(417f) Accounting for Uncertainty in Production Scheduling in the Presence of Feedback: Method Comparison, Paradoxes, and Guidelines
Venkatachalam Avadiappan, Christos Maravelias

09:54 AM

(417g) Data-Driven Sample Average Approximation with Covariate Information
Rohit Kannan, Güzin Bayraksan, James Luedtke