Skip to main content
Toggle main menu visibility
Menu
Join
Sign In
Communities
Membership
Events
Publications
Learning & Careers
AIChE Home
About
Contact AIChE
Leadership
Events
Communities
Membership
Learning & Careers
Publications
Careers at AIChE
Equity, Diversity, Inclusion
Giving
Students
Young Professionals
Operating councils
Local Sections
Committees
Awards
Communities
Membership
Events
Publications
Learning & Careers
Toggle site search visibility
Sign In
Join
Breadcrumb
Home
Publications
Proceedings
2023 Spring Meeting and 19th Global Congress on Process Safety
Industry 4.0 Topical Conference
Optimization and Machine Learning in Chemical Manufacturing
2023 Spring Meeting and 19th Global Congress on Process Safety
Session: Optimization and Machine Learning in Chemical Manufacturing
Chair
Sreekanth Rajagopalan
, Dow Inc.
Presentations
03:30 PM
(104a) Multi-Fidelity Surrogate Models to Generate Low-Fidelity Data for Data-Driven Branch-and-Bound Optimization
Suryateja Ravutla, Fani Boukouvala
04:00 PM
(104b) Considerations for Product Development Model Formulations in Constrained Optimization Problems
Alexander Nguyen, Marlene Cardin, Kristin Wallace
04:30 PM
(104c) Achieving Targeted Product Mix Using Web-Based Optimization Tool for Chemical Plants with Multiple Products
Zubin Kuvadia, Xinjie Tong, David Koscielniak, Shachit Iyer, Jianping Zeng
