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Environmental Aspects Selection for EEE Using ANP Method

  • Conference paper
Advances in Computational Intelligence (IPMU 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 300))

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Abstract

Life Cycle Assessment (LCA) is a tool to assess the environmental aspects, impacts and resources used throughout a product’s life cycle. It is widely accepted and considered as one of the most powerful tools to support decision making processes used in ecodesign. However, since LCA is a cost and time intensive method, the companies do not intend to carry out a full LCA, except for large corporate ones. Especially for small and medium sized enterprises (SMEs), which do not have enough budget for and knowledge on ecodesign approaches, focusing only on the most important possible environmental aspect is unavoidable. In this direction, finding the right environmental aspect to work on is crucial. In this study, a multi-criteria decision making (MCDM) methodology to select environmental aspects for Electrical and Electronic Equipment (EEE) by using Analytic Network Process (ANP) is proposed. The evaluation is made by ANP in order to create a realistic approach to inter-dependencies among the criteria.

This research has been financially supported by Galatasaray University Research Fund.

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Authors and Affiliations

  1. Industrial Engineering Department, Galatasaray University, Ciragan Cad, No:36, Besiktas, Istanbul, Turkey

    İlke Bereketli & Mujde Erol Genevois

Authors
  1. İlke Bereketli
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  2. Mujde Erol Genevois
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Editor information

Editors and Affiliations

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

    Salvatore Greco  & Benedetto Matarazzo  & 

  2. CNRS UMR 7606, DAPA, LIP6 8, Université Pierre et Marie Curie - Paris6, rue du Capitaine Scott, F-75015, Paris, France

    Bernadette Bouchon-Meunier

  3. Dip. Matematica e Informatica, Università di Perugia, 06123, Perugia, Italy

    Giulianella Coletti

  4. Department of Computer and Management Science, University of Trento, Via Inama 5, 38122, Trento, Italy

    Mario Fedrizzi

  5. Machine Intelligence Institute — IONA College,, 10801, New Rochelle, NY, USA

    Ronald R. Yager

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© 2012 Springer-Verlag Berlin Heidelberg

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Bereketli, İ., Erol Genevois, M. (2012). Environmental Aspects Selection for EEE Using ANP Method. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31724-8_36

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  • DOI: https://doi.org/10.1007/978-3-642-31724-8_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31723-1

  • Online ISBN: 978-3-642-31724-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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