Multi-choice mixed integer goal programming optimization for real problems in a sugar and ethanol milling company

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorda Silva, Aneirson Francisco
dc.creatorSilva Marins, Fernando Augusto
dc.creatorBarra Montevechi, José Arnaldo
dc.date2014-05-27T11:29:01Z
dc.date2016-10-25T18:47:53Z
dc.date2014-05-27T11:29:01Z
dc.date2016-10-25T18:47:53Z
dc.date2013-05-01
dc.date.accessioned2017-04-06T02:21:53Z
dc.date.available2017-04-06T02:21:53Z
dc.identifierApplied Mathematical Modelling, v. 37, n. 9, p. 6146-6162, 2013.
dc.identifier0307-904X
dc.identifierhttp://hdl.handle.net/11449/75202
dc.identifierhttp://acervodigital.unesp.br/handle/11449/75202
dc.identifier10.1016/j.apm.2012.12.022
dc.identifierWOS:000317378900003
dc.identifier2-s2.0-84875377451
dc.identifierhttp://dx.doi.org/10.1016/j.apm.2012.12.022
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/895949
dc.descriptionGoal Programming (GP) is an important analytical approach devised to solve many realworld problems. The first GP model is known as Weighted Goal Programming (WGP). However, Multi-Choice Aspirations Level (MCAL) problems cannot be solved by current GP techniques. In this paper, we propose a Multi-Choice Mixed Integer Goal Programming model (MCMI-GP) for the aggregate production planning of a Brazilian sugar and ethanol milling company. The MC-MIGP model was based on traditional selection and process methods for the design of lots, representing the production system of sugar, alcohol, molasses and derivatives. The research covers decisions on the agricultural and cutting stages, sugarcane loading and transportation by suppliers and, especially, energy cogeneration decisions; that is, the choice of production process, including storage stages and distribution. The MCMIGP allows decision-makers to set multiple aspiration levels for their problems in which the more/higher, the better and the less/lower, the better in the aspiration levels are addressed. An application of the proposed model for real problems in a Brazilian sugar and ethanol mill was conducted; producing interesting results that are herein reported and commented upon. Also, it was made a comparison between MCMI GP and WGP models using these real cases. © 2013 Elsevier Inc.
dc.languageeng
dc.relationApplied Mathematical Modelling
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAggregate production planning
dc.subjectGoal programming
dc.subjectMulti- Choice mixed integer goal programming
dc.subjectMulti-choice aspiration levels
dc.subjectSugar and ethanol mills
dc.subjectAnalytical approach
dc.subjectGoal programming model
dc.subjectMulti choices
dc.subjectMultiple aspiration levels
dc.subjectProduction process
dc.subjectReal-world problem
dc.subjectAggregates
dc.subjectEthanol
dc.subjectIndustry
dc.subjectInteger programming
dc.subjectLoading
dc.subjectMilling (machining)
dc.subjectProduction engineering
dc.subjectProblem solving
dc.titleMulti-choice mixed integer goal programming optimization for real problems in a sugar and ethanol milling company
dc.typeOtro


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