Revistas de investigación UNMSM

Optimized model development of a production process in a pharmaceutical laboratory applying integer mix linear programming with multiple objectives

Authors

  • Dante Cuadros Segovia Pontificia Universidad Católica del Perú
  • Miguel Mejía Puente Pontificia Universidad Católica del Perú

DOI:

https://doi.org/10.15381/idata.v12i1.6089

Keywords:

Mixed integer linear programming, multiply objectives, schedule production.

Abstract

The present article tries on the application of a model of mixed integer lineal programming with multiple objectives for the planning of the production system of a pharmaceutical laboratory, with the purpose of improving the taking of decisions when planning the production. It understands the description of the case of study, the considered suppositions, formulation of the model and the results of the same one.

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Author Biographies

  • Dante Cuadros Segovia, Pontificia Universidad Católica del Perú

    Ingeniero Industrial, PUCP, Analista de Proyectos, BBVA Banco Continental

  • Miguel Mejía Puente, Pontificia Universidad Católica del Perú

    Doctor en Ingeniería Industrial, UNMSM, Profesor del Departamento de Ingeniería, PUCP.

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Published

2009-07-10

Issue

Vol. 12 No. 1 (2009)

Section

Sistemas e Informática

License

Copyright (c) 2009 Dante Cuadros Segovia, Miguel Mejía Puente

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

AUTHORS RETAIN THEIR RIGHTS:

a. Authors retain their trade mark rights and patent, and also on any process or procedure described in the article.

b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the INDUSTRIAL DATA.

c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating the source of publication (the originator of the work, journal, volume, number and date).

How to Cite

Optimized model development of a production process in a pharmaceutical laboratory applying integer mix linear programming with multiple objectives. (2009). Industrial Data, 12(1), 055-061. https://doi.org/10.15381/idata.v12i1.6089