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Supplier Selection Using Multiobjective Evolutionary Algorithm

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Virtual and Networked Organizations, Emergent Technologies and Tools (ViNOrg 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 248))

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Abstract

Supplier selection is one of the most critical activities of purchasing management. Nowadays, supplier selection includes a number of different and usually conflicting objectives. Because of that, modern supplier selection techniques imply solving of multiobjective optimization problems. In this paper supplier selection using evolutionary algorithm (SPEA method) is presented. As criteria for selection optimization we used variance of quality and total costs. Results show that described methodology can be applicable for the practical purposes.

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Author information

Authors and Affiliations

  1. Faculty of Economics, University of Kragujevac, Djure Pucara, 3, 34000, Kragujevac, Serbia

    Vladimir Rankovic, Zora Arsovski, Zoran Kalinic, Igor Milanovic & Dragana Rejman-Petrovic

  2. Faculty for Mechanical Engineering, University of Kragujevac, Sestre Janjic, 6, 34000, Kragujevac, Serbia

    Slavko Arsovski

Authors
  1. Vladimir Rankovic
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  2. Zora Arsovski
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  3. Slavko Arsovski
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  4. Zoran Kalinic
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  5. Igor Milanovic
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  6. Dragana Rejman-Petrovic
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Editor information

Editors and Affiliations

  1. CITEPE Research Centre, University of Minho, Campus de Azurém, 4800-058, Guimarães, Portugal

    Goran D. Putnik

  2. Polytechnic Institute of Cávado e Ave, Vila Frescainha S. Martinho BCL, 4750-810, Portugal

    Maria Manuela Cruz-Cunha

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© 2012 Springer-Verlag Berlin Heidelberg

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Rankovic, V., Arsovski, Z., Arsovski, S., Kalinic, Z., Milanovic, I., Rejman-Petrovic, D. (2012). Supplier Selection Using Multiobjective Evolutionary Algorithm. In: Putnik, G.D., Cruz-Cunha, M.M. (eds) Virtual and Networked Organizations, Emergent Technologies and Tools. ViNOrg 2011. Communications in Computer and Information Science, vol 248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31800-9_33

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  • DOI: https://doi.org/10.1007/978-3-642-31800-9_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31799-6

  • Online ISBN: 978-3-642-31800-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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