• DocumentCode
    3155405
  • Title

    Multi-criteria decision making (MCDM) of solid waste collection methods using Life Cycle Assessment (LCA) outputs

  • Author

    Ulukan, H. Ziya ; Kop, Yesim

  • Author_Institution
    Ind. Eng. Dept., Galatasaray Univ., Istanbul, Turkey
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    584
  • Lastpage
    589
  • Abstract
    This paper presents the selection of the most suitable system between new collection systems focused on improving waste recovery rate. A large part of solid waste can be recovered in some way. Recycling, energy production, composting are some of the recovery techniques. To obtain a high level of solid waste recovery, the waste must be collected according to some rules. Different collection methods are compared with fuzzy TOPSIS method, according to financial, social and environmental criteria. The originality of this paper is that the decision making process is enriched by the use of environmental impact data. In most of the studies, financial and social aspects are used to compare these methods but due to multiplicity of environmental factors and their complexity, environmental aspect has been neglected. This paper evaluates the environmental effects through Life Cycle Assessment methodology.
  • Keywords
    decision making; environmental factors; fuzzy set theory; recycling; waste recovery; composting; energy production; environmental aspect; environmental factors; environmental impact; fuzzy TOPSIS method; life cycle assessment; multicriteria decision making; recycling; solid waste collection method; solid waste recovery; Cities and towns; Decision making; Environmental factors; Filling; Humans; Production; Recycling; Solids; Waste materials; Waste recovery; LCA; fuzzy TOPSIS; solid waste collection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
  • Conference_Location
    Troyes
  • Print_ISBN
    978-1-4244-4135-8
  • Electronic_ISBN
    978-1-4244-4136-5
  • Type

    conf

  • DOI
    10.1109/ICCIE.2009.5223862
  • Filename
    5223862