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A Multiobjective Approach for a Dynamic Simple Plant Location Problem under Uncertainty

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Computational Science and Its Applications – ICCSA 2014 (ICCSA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8580))

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Abstract

Location problems are, by nature, strategic decisions since facilities will usually be in operation in the medium and long terms. It is necessary to decide today, given the available information, knowing that the consequences of today’s decisions will remain in time. Having to include in the decision making process data that will only be known with certainty in the future does not advise the use of deterministic models: the existing uncertainty should be explicitly included in the models. The notion of optimal solution becomes fragile: it will be difficult to find a single solution that is the best in all possible future realizations of uncertainty. In this paper we consider a dynamic simple plant location problem, where uncertainty is explicitly considered through the use of scenarios. We advocate the use of a multiobjective approach as a valuable tool in guiding the decision-making process, iteratively or as an off-line generation procedure.

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Author information

Authors and Affiliations

  1. Faculdade de Economia, Universidade de Coimbra, 3004-512, Coimbra, Portugal

    Joana M. Dias

  2. Inesc-Coimbra, Rua Antero de Quental, 199, 3000-033, Coimbra, Portugal

    Joana M. Dias & Maria do Céu Marques

  3. ISEC, DFM, Instituto Politécnico de Coimbra, Rua Pedro Nunes, 3030-199, Coimbra, Portugal

    Maria do Céu Marques

Authors
  1. Joana M. Dias
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  2. Maria do Céu Marques
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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© 2014 Springer International Publishing Switzerland

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Dias, J.M., do Céu Marques, M. (2014). A Multiobjective Approach for a Dynamic Simple Plant Location Problem under Uncertainty. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8580. Springer, Cham. https://doi.org/10.1007/978-3-319-09129-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-09129-7_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09128-0

  • Online ISBN: 978-3-319-09129-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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