Addressing uncertainty in sugarcane harvest planning through a revised multi-choice goal programming model

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dc.contributor.authorSilva, Aneirson Francisco da [UNESP]
dc.contributor.authorSilva Marins, Fernando Augusto [UNESP]
dc.contributor.authorDias, Erica Ximenes [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T15:27:50Z
dc.date.available2018-11-26T15:27:50Z
dc.date.issued2015-09-15
dc.description.abstractIn this paper a new revised multi-choice goal programming (RMCGP-LHS) model is proposed to deal with uncertainty in sugar cane harvest scheduling for sugar and ethanol milling companies. The RMCGP-LHS model uses a weekly decision-making horizon and takes into account the time and condition of land management, cane cutting decisions, and agricultural logistics. Its objective is to obtain information in order to harvest sugar cane plots in the period closest to the highest saccharose levels, while also minimizing agro-industrial costs. The RMCGP-LHS model was applied to a real case sugar and ethanol mill, and its optimization has provided harvesting policies that were validated by the company's managers. Besides that the RMCGP-LHS model is a very practical tool for simulating in a fast way different scenarios involving uncertainties on model parameters and helping the managers in decision making process in real time. (C) 2015 Elsevier Inc. All rights reserved.en
dc.description.affiliationSao Paulo State Univ, Dept Prod, Sao Paulo, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Prod, Sao Paulo, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdCNPq: 303362/2012-0
dc.description.sponsorshipIdCNPq: 470189/2012
dc.description.sponsorshipIdCAPES: PE- 024/2008
dc.description.sponsorshipIdFAPESP: 2014/06374-2
dc.format.extent5540-5558
dc.identifierhttp://dx.doi.org/10.1016/j.apm.2015.01.007
dc.identifier.citationApplied Mathematical Modelling. New York: Elsevier Science Inc, v. 39, n. 18, p. 5540-5558, 2015.
dc.identifier.doi10.1016/j.apm.2015.01.007
dc.identifier.fileWOS000360595000017.pdf
dc.identifier.issn0307-904X
dc.identifier.urihttp://hdl.handle.net/11449/158481
dc.identifier.wosWOS:000360595000017
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofApplied Mathematical Modelling
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectGoal programming
dc.subjectUncertainty
dc.subjectScenario
dc.subjectOptimization
dc.subjectSugarcane
dc.titleAddressing uncertainty in sugarcane harvest planning through a revised multi-choice goal programming modelen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.author.lattes2151242493491034[1]
unesp.author.lattes9008186664173955[2]
unesp.author.orcid0000-0002-2215-0734[1]
unesp.author.orcid0000-0001-6510-9187[2]

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