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

dc.contributor.advisor	Ricardez-Sandoval, Luis
dc.contributor.author	Valdez Navarro, Yael Izamal
dc.date.accessioned	2019-12-04T13:43:09Z
dc.date.available	2019-12-04T13:43:09Z
dc.date.issued	2019-12-04
dc.date.submitted	2019-11-25
dc.description.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.	en
dc.identifier.uri	http://hdl.handle.net/10012/15276
dc.language.iso	en	en
dc.pending	false
dc.publisher	University of Waterloo	en
dc.subject	optimization	en
dc.subject	scheduling	en
dc.subject	control	en
dc.subject	uncertainty	en
dc.subject.lcsh	Combinatorial optimization	en
dc.title	A Novel Back-Off Algorithm for the Integration Between Dynamic Optimization and Scheduling of Batch Processes Under Uncertainty	en
dc.type	Master Thesis	en
uws-etd.degree	Master of Applied Science	en
uws-etd.degree.department	Chemical Engineering	en
uws-etd.degree.discipline	Chemical Engineering	en
uws-etd.degree.grantor	University of Waterloo	en
uws.contributor.advisor	Ricardez-Sandoval, Luis
uws.contributor.affiliation1	Faculty of Engineering	en
uws.peerReviewStatus	Unreviewed	en
uws.published.city	Waterloo	en
uws.published.country	Canada	en
uws.published.province	Ontario	en
uws.scholarLevel	Graduate	en
uws.typeOfResource	Text	en

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