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Caliane Bastos Borba Costa ; Mauro Antonio da Silva Sá Ravagnani ;Acta Scientiarum. Technology 2017, 39 1

Author: Eduardo Alves de Oliveira

Source: http://www.redalyc.org/articulo.oa?id=303249921010


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Acta Scientiarum.
Technology ISSN: 1806-2563 eduem@uem.br Universidade Estadual de Maringá Brasil Alves de Oliveira, Eduardo; Bastos Borba Costa, Caliane; da Silva Sá Ravagnani, Mauro Antonio An optimization model for production planning in the drying sector of an industrial laundry Acta Scientiarum.
Technology, vol.
39, núm.
1, enero-marzo, 2017, pp.
69-77 Universidade Estadual de Maringá Maringá, Brasil Available in: http:--www.redalyc.org-articulo.oa?id=303249921010 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Acta Scientiarum http:--www.uem.br-acta ISSN printed: 1806-2563 ISSN on-line: 1807-8664 Doi: 10.4025-actascitechnol.v39i1.29797 An optimization model for production planning in the drying sector of an industrial laundry Eduardo Alves de Oliveira, Caliane Bastos Borba Costa and Mauro Antonio da Silva Sá Ravagnani* Departamento de Engenharia Químia, Universidade Estadual de Maringá, Av.
Colombo, 5790, 87020-900, Maringá, Paraná, Brazil.
*Author for correspondence.
E-mail: massravagnani@ uem.br ABSTRACT.
In this work, an optimization model was developed for production planning in the drying sector of a real industrial laundry.
Goal programming was used in order to minimize energy and labor costs, and to use of the full capacity of each piece of equipment, as far as possible.
Constraints imposed were not to mix different types of products in each lot, dependence of lot assignment on the lots already assigned, the requirement to have a positive global contribution margin, and that each available dryer should be used within a specified capacity range.
The independent variables were the numbers of items in each lot, according to product type.
The Mixed Integer Linear Programming model developed was solved using ...





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