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A MIP Model for Production Planning in the Roasting Coffee Industry

  • Diana Yomali Ospina
  • Maria Antónia Carravilla
  • José Fernando Oliveira
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 682)

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.

Keywords

Supply Chain Coffee Bean Ground Coffee Green Coffee Case Study Company 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

Project “NORTE-07-0124-FEDER-000057” is financed by the North Portugal Regional Operational Programme (ON.2 – O Novo Norte), under the National Strategic Reference Framework (NSRF), through the European Regional Development Fund (ERDF), and by national funds, through the Portuguese funding agency, Fundação para a Ciência e a Tecnologia (FCT).

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Diana Yomali Ospina
    • 2
  • Maria Antónia Carravilla
    • 1
  • José Fernando Oliveira
    • 1
  1. 1.INESC TEC, Faculty of EngineeringUniversity of PortoPortoPortugal
  2. 2.Department of Production and Mechanical EngineeringUniversidad Autónoma de ManizalesManizalesColombia

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