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dc.creatorCoronado-Hernandez, Jairo R.
dc.creatorde la Hoz, Laura
dc.creatorLeyva, Jaime
dc.creatorRamos, María
dc.creatorZapatero, Orlando
dc.description.abstractProduction in large quantities of different varieties of products creates issues in finding an optimal planning solution. Adhesive tapes companies face that challenge. A multi-phased methodology is proposed to minimize production costs. In this it is considered different production variables. First phase divided a problem into subproblems to minimize computational complexity through an incidence matrix. Second phase formulated a linear programming model to determine production optimal batch sizes. Consequently, model is applied in a real company. Results showed a decrease in production costs in a range of 14%-43% for the different manufactured groups of components. In this way it is expected that more companies can apply similar models to improve their production
dc.publisherCorporación Universidad de la Costaspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.sourceEducation, and Technologyspa
dc.subjectAggregate planningspa
dc.subjectlinear programming modelspa
dc.subjectcosts minimizationspa
dc.subjectadhesive tapesspa
dc.titleLinear programming model to minimize the production costs of an adhesive tape companyspa
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