2017 Annual Meeting
Session: Design Under Uncertainty
Although the problems associated with optimal design and operation of process systems under uncertainty have been receiving increasing attention since the early 1990s, there are still several key areas that needs to be addressed. This session invites contributions in developments of (i) novel approaches for quantification and propagation of uncertainty, (ii) new models, methods and algorithms to incorporate uncertainty, and (iii) novel approaches to solve the resulting problems in process synthesis, design and operations area. The papers that incorporate simulation and optimization are encouraged.
Chair
Stuber, M., University of Connecticut
Co-Chairs
Mesbah, A., University of California, Berkeley
Li, Z., University of Alberta
Christian, B., Auburn University