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CONTROLO 2016 pp 167-177 | Cite as

Model Predictive Control Applied to a Supply Chain Management Problem

  • Tatiana M. PinhoEmail author
  • João Paulo Coelho
  • António Paulo Moreira
  • José Boaventura-Cunha
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 402)

Abstract

Supply chains are ubiquitous in any commercial delivery systems. The exchange of goods and services, from different supply points to distinct destinations scattered along a given geographical area, requires the management of stocks and vehicles fleets in order to minimize costs while maintaining good quality services. Even if the operating conditions remain constant over a given time horizon, managing a supply chain is a very complex task. Its complexity increases exponentially with both the number of network nodes and the dynamical operational changes. Moreover, the management system must be adaptive in order to easily cope with several disturbances such as machinery and vehicles breakdowns or changes in demand. This work proposes the use of a model predictive control paradigm in order to tackle the above referred issues. The obtained simulation results suggest that this strategy promotes an easy tasks rescheduling in case of disturbances or anticipated changes in operating conditions.

Keywords

Model predictive control Supply chain modelling Integer programming problems Transportation scheduling 

Notes

Acknowledgments

This work was supported by the FCT—Fundação para a Ciência e Tecnologia through the PhD Studentship SFRH/BD/98032/2013, program POPH—Programa Operacional Potencial Humano and FSE—Fundo Social Europeu.

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Tatiana M. Pinho
    • 1
    • 4
    Email author
  • João Paulo Coelho
    • 2
    • 4
  • António Paulo Moreira
    • 3
    • 4
  • José Boaventura-Cunha
    • 1
    • 4
  1. 1.Universidade de Trás-os-Montes e Alto Douro, UTAD, Escola de Ciências e Tecnologia, Quinta de PradosVila RealPortugal
  2. 2.Instituto Politécnico de Bragança, Escola Superior de Tecnologia e GestãoBragançaPortugal
  3. 3.Faculty of EngineeringUniversity of PortoPortoPortugal
  4. 4.INESC TEC Technology and SciencePortoPortugal

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