A Novel Back-Off Algorithm for the Integration Between Dynamic Optimization and Scheduling of Batch Processes Under Uncertainty

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Date

2019-12-04

Authors

Valdez Navarro, Yael Izamal

Advisor

Ricardez-Sandoval, Luis

Journal Title

Journal ISSN

Volume Title

Publisher

University of Waterloo

Abstract

This thesis presents a decomposition algorithm for obtaining robust scheduling and control decisions. It iteratively solves scheduling and dynamic optimization problems while approximating stochastic uncertainty through back-off terms, calculated through dynamic simulations of the process. This algorithm is compared, both in solution quality and performance, against a fully-integrated MINLP.

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Keywords

optimization, scheduling, control, uncertainty

LC Subject Headings

Combinatorial optimization

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