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Programming Optimization of Roasted Coffee Production in a Coffee Roasting Company

  • Joaquín H. Giraldo H.Email author
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

This work focuses on the development of a methodology to support the planning of aggregated production within a roasted coffee industrializing company. The methodology involves optimization techniques and computational tools for the assigning of lots to roasting lines while minimizing total costs and fulfilling the specifications of the process.

Keywords

Production programming Coffee roasting process Optimization model 

References

  1. 1.
    Aizaki, H., Nishimura, K.: Design and analysis of choice experiments using R: a brief introduction. Agric. Inf. Res. 17(2), 86–94 (2008)Google Scholar
  2. 2.
    Federación Nacional de Cafeteros de Colombia: Industrialización del café - Tostación. Compiled from http://www.cafedecolombia.com/particulares/es/sobre_el_cafe/el_cafe/industrializacion/tostacion_/ (2010)
  3. 3.
    Fylstra, D., Lasdon, L., Watson, J., Waren, A.: Design and use of the Microsoft Excel Solver. Interfaces 28(5), 29–55 (1998)CrossRefGoogle Scholar
  4. 4.
    Hicks, C.R.: Fundamental Concepts in the Design of Experiments (1964)Google Scholar
  5. 5.
    Hung, H.J., O’Neill, R.T., Bauer, P., Kohne, K.: The behavior of the p-value when the alternative hypothesis is true. Biometrics, 11–22 (1997)Google Scholar
  6. 6.
    Iversen, G.R., Wildt, A.R., Norpoth, H., Norpoth, H.P.: Analysis of Variance, no. 1. Sage (1987)Google Scholar
  7. 7.
    Nelder, J.A., Mead, R.: A simplex method for function minimization. Comput. J. 7(4), 308–313 (1965)CrossRefGoogle Scholar
  8. 8.
    Rao, S.: The Coffee Roaster’s Companion (2014)Google Scholar
  9. 9.
    Schwartzberg, H.: Batch coffee roasting; roasting energy use; reducing that use. In: Advances in Food Process Engineering Research and Applications, pp. 173–195. Springer, Boston, MA (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Universidad de AntioquiaMedellínColombia

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