dc.creatorBohle, Carlos
dc.creatorMaturana, Sergio
dc.creatorVera, Jorge
dc.date.accessioned2024-01-10T13:11:13Z
dc.date.accessioned2024-05-02T18:31:41Z
dc.date.available2024-01-10T13:11:13Z
dc.date.available2024-05-02T18:31:41Z
dc.date.created2024-01-10T13:11:13Z
dc.date.issued2010
dc.identifier10.1016/j.ejor.2008.12.003
dc.identifier1872-6860
dc.identifier0377-2217
dc.identifierhttps://doi.org/10.1016/j.ejor.2008.12.003
dc.identifierhttps://repositorio.uc.cl/handle/11534/78017
dc.identifierWOS:000270347700024
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9270543
dc.description.abstractOptimization models are increasingly being used in agricultural planning. However, the inherent uncertainties present in agriculture make it difficult. In recent years, robust optimization has emerged as a methodology that allows dealing with uncertainty in optimization models, even when probabilistic knowledge of the phenomenon is incomplete. In this paper, we consider a wine grape harvesting scheduling optimization problem subject to several uncertainties, such as the actual productivity that can be achieved when harvesting. We study how effective robust optimization is solving this problem in practice. We develop alternative robust models and show results for some test problems obtained from actual wine industry problems. (C) 2008 Elsevier B.V. All rights reserved.
dc.languageen
dc.publisherELSEVIER
dc.rightsacceso restringido
dc.subjectRobust optimization
dc.subjectWine supply chain
dc.subjectScheduling
dc.subjectDESIGN
dc.subjectMODEL
dc.titleA robust optimization approach to wine grape harvesting scheduling
dc.typeartículo


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