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Web System for Supporting Project Management

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Computational Intelligence and Decision Making

Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 61))

Abstract

This paper provides an alternative approach for project management through a web-based decision support system. This contribution integrates XML-based web services and decision support tools through a proposed platform, which is being developed for supporting large scale projects management, in order to enable to more easily work on projects, integrating many and complex tasks to be planned and controlled.

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Acknowledgments

The authors wish to acknowledge the support of: (1) The Foundation for Science and Technology – FCT, under the scope of the financed Project on “Ubiquitous oriented embedded systems for globally distributed factories of manufacturing enterprises” – PTDC/EME-GIN/102143/2008.

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Authors and Affiliations

  1. Department of Production and Systems, School of Engineering, University of Minho, Azurém Campus, 4800-058, Guimarães, Portugal

    Cátia Filipa Veiga Alves, André Filipe Nogueira da Silva & Maria Leonilde R. Varela

Authors
  1. Cátia Filipa Veiga Alves
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  2. André Filipe Nogueira da Silva
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  3. Maria Leonilde R. Varela
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Corresponding author

Correspondence to Maria Leonilde R. Varela .

Editor information

Editors and Affiliations

  1. Computer Science Department, Polytechnique Institute of Porto, Rua Dr. Bernardino de Almeida 431, Porto, 4200-072, Portugal

    Ana Madureira

  2. Electrical and Engineering Department, Polytechnique Institute of Porto, Rua Dr. Bernardino de Almeida 431, Porto, 4200-072, Portugal

    Cecilia Reis

  3. , Department of Computer Science and Syste, Polytechnique Institute of Coimbra, Rua Pedro Nunes - Quinta da Nora, Coimbra, 3030-199, Portugal

    Viriato Marques

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Alves, C.F.V., da Silva, A.F.N., Varela, M.L.R. (2013). Web System for Supporting Project Management. In: Madureira, A., Reis, C., Marques, V. (eds) Computational Intelligence and Decision Making. Intelligent Systems, Control and Automation: Science and Engineering, vol 61. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4722-7_19

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  • DOI: https://doi.org/10.1007/978-94-007-4722-7_19

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-4721-0

  • Online ISBN: 978-94-007-4722-7

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