| dc.contributor.author | Valdez Navarro, Yael Izamal | |
| dc.date.accessioned | 2019-12-04 13:43:09 (GMT) | |
| dc.date.available | 2019-12-04 13:43:09 (GMT) | |
| dc.date.issued | 2019-12-04 | |
| dc.date.submitted | 2019-11-25 | |
| dc.identifier.uri | http://hdl.handle.net/10012/15276 | |
| 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.language.iso | en | en |
| 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 |
| dc.pending | false | |
| uws-etd.degree.department | Chemical Engineering | en |
| uws-etd.degree.discipline | Chemical Engineering | en |
| uws-etd.degree.grantor | University of Waterloo | en |
| uws-etd.degree | Master of Applied Science | en |
| uws.contributor.advisor | Ricardez-Sandoval, Luis | |
| uws.contributor.affiliation1 | Faculty of Engineering | en |
| uws.published.city | Waterloo | en |
| uws.published.country | Canada | en |
| uws.published.province | Ontario | en |
| uws.typeOfResource | Text | en |
| uws.peerReviewStatus | Unreviewed | en |
| uws.scholarLevel | Graduate | en |
