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dc.contributor.authorLee, Do Yeon
dc.contributor.authorFukasawa, Ricardo
dc.contributor.authorRicardez-Sandoval, Luis 19:18:17 (GMT) 19:18:17 (GMT)
dc.descriptionThe final publication is available at Elsevier via © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
dc.description.abstractThis study addresses short-term scheduling problems with throughput and make-span as conflicting objectives, focusing on a priori multi-objective methods. Two contributions are presented. The first contribution is to propose a priori methods based on the hybridization of compromise programming and the ε-constraint method that have computational benefits over the original methods. The second is to present short-term operational objective functions, that can be used within short-term scheduling to optimize desired long term objectives. Two numerical case studies, one in a semiconductor processing plant and a scientific services facility, are presented using a rolling horizon framework, which demonstrate the potential for the proposed methods to improve solution quality over a traditional a priori approach.en
dc.description.sponsorshipThe financial supports provided by Natural Sciences and Engineering Research Council of Canada (NSERC), Ontario Centers for Excellence (OCE) and the industrial partner in the scientific services sector are gratefully acknowledged.en
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.subjectshort-term schedulingen
dc.subjectrolling horizonen
dc.subjectcompromise programmingen
dc.subjecta priori methoden
dc.titleBi-objective short-term scheduling in a rolling horizon framework: a priori approaches with alternative operational objectivesen
dcterms.bibliographicCitationDo Yeon Lee, Ricardo Fukasawa, Luis Ricardez-Sandoval, Bi-objective short-term scheduling in a rolling horizon framework: a priori approaches with alternative operational objectives, Computers and Operations Research (2019), doi:
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Chemical Engineeringen
uws.contributor.affiliation2Combinatorics and Optimizationen

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