Efficient Solution of Enterprise-Wide Optimization Problems Using Nested Stochastic Blockmodeling
Author:
Affiliation:
1. Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
Funder
Division of Chemical, Bioengineering, Environmental, and Transport Systems
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.1c01570
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1. Enterprise-wide optimization: A new frontier in process systems engineering
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5. Optimal Process Operations in Fast-Changing Electricity Markets: Framework for Scheduling with Low-Order Dynamic Models and an Air Separation Application
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