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Supplier Selection Based on the PROMETHEE VI Multicriteria Method

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Evolutionary Multi-Criterion Optimization (EMO 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6576))

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Abstract

Nowadays, supplier selection has become a strategic activity for many companies that wish to increase the competitiveness of their supply chain. The tendency is to maintain a long-term relationship based on trust and commitment. To achieve this aim, it is necessary to re-structure the supplier selection process, incorporate more criteria in the evaluation and deal in an appropriate way with the preferences of the decision-makers (DMs) involved. Thus, this paper presents a structure for selecting suppliers that considers the preferences of multiple DMs involved in the process. It is considered that their preferences do not present great variation, it therefore being possible to deal with them adequately and to select the supplier who presents the best compromise using the PROMETHEE VI method. A numerical application is presented.

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Author information

Authors and Affiliations

  1. Department of Management Engineering, Federal University of Pernambuco, PO Box 7462, Recife, PE, 50.722-970, Brazil

    Luciana Alencar & Adiel Almeida

Authors
  1. Luciana Alencar
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  2. Adiel Almeida
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Editor information

Editors and Affiliations

  1. Department of Mathematics, Federal University of Minas Gerais, Av. Antônio Carlos 6627, 31270-901, Belo Horizonte, MG, Brazil

    Ricardo H. C. Takahashi

  2. Department of Mechanical Engineering, Indian Institute of Technology Kanpur, 208 016, Kanpur, India

    Kalyanmoy Deb

  3. Department of Computer Engineering, Centro Federal de Educaçao Tecnológica de Minas Gerais, Av. Amazonas 5253, 30421-169, Belo Horizonte, MG, Brazil

    Elizabeth F. Wanner

  4. Faculty of Economics, University of Catania, Corso Italia 55, 95129, Catania, Italy

    Salvatore Greco

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© 2011 Springer-Verlag Berlin Heidelberg

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Alencar, L., Almeida, A. (2011). Supplier Selection Based on the PROMETHEE VI Multicriteria Method. In: Takahashi, R.H.C., Deb, K., Wanner, E.F., Greco, S. (eds) Evolutionary Multi-Criterion Optimization. EMO 2011. Lecture Notes in Computer Science, vol 6576. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19893-9_42

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  • DOI: https://doi.org/10.1007/978-3-642-19893-9_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19892-2

  • Online ISBN: 978-3-642-19893-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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