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A MIP Model for Production Planning in the Roasting Coffee Industry

In: Computational Management Science

Author

Listed:
  • Diana Yomali Ospina

    (Universidad Autónoma de Manizales)

  • Maria Antónia Carravilla

    (University of Porto)

  • José Fernando Oliveira

    (University of Porto)

Abstract

The coffee supply chain includes harvesting, commercialization, production and distribution. This paper presents a case study of a Portuguese roasted coffee company. The production process in the company begins with the storage in warehouses and in silos and continues through blending, roasting, grinding and finally packaging and warehousing. These processes are carried out in order to get different requirements in terms of freshness, aroma, flavour and coffee color. A mixed integer (MIP) model for production planning has been built, taking into account as main decision variables, the type of coffee to load in each silo in each period. The objective is to produce the coffee as near as possible to a due date in order to maintain the freshness and satisfy the clients demand. The company needs the model to embed in a decision support system that allows them to test coffee orders acceptance and to define at the beginning of each day how the silos must be loaded. The results are very encouraging as it is possible to test many scenarios for the orders in a short time period.

Suggested Citation

  • Diana Yomali Ospina & Maria Antónia Carravilla & José Fernando Oliveira, 2016. "A MIP Model for Production Planning in the Roasting Coffee Industry," Lecture Notes in Economics and Mathematical Systems, in: Raquel J. Fonseca & Gerhard-Wilhelm Weber & João Telhada (ed.), Computational Management Science, edition 1, pages 157-163, Springer.
    • Handle: RePEc:spr:lnechp:978-3-319-20430-7_20
    DOI: 10.1007/978-3-319-20430-7_20
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