Lee, Do YeonFukasawa, RicardoRicardez-Sandoval, Luis2020-01-052020-01-052019-11https://doi.org/10.1016/j.cor.2019.06.006http://hdl.handle.net/10012/15392The final publication is available at Elsevier via https://doi.org/10.1016/j.cor.2019.06.006. © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/This 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.enAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/multi-objectiveshort-term schedulingrolling horizoncompromise programminga priori methodε-constraintArticle