• DocumentCode
    3374505
  • Title

    Evaluation of methods used for life-cycle assessments in Discrete Event Simulation

  • Author

    Andersson, Jon ; Skoogh, Anders ; Johansson, Bjorn

  • Author_Institution
    Product & Production Dev., Chalmers Univ. of Technol., Gothenburg, Sweden
  • fYear
    2012
  • fDate
    9-12 Dec. 2012
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    The incitements from society for life-cycle assessment (LCA) and credible ecolables are ever-increasing and often important for successful marketing of products. Robust assessment methods are important for comparable, useful and trustworthy LCAs and ecolables. In order to improve the metrics of a product´s ecolable, is it important to fully understand its production system. Discrete Event Simulation (DES) models are able to provide more detailed information than traditional LCA approaches. Therefore, methods used to combining LCA in DES have been developed during the last decade. The combined approaches have matured and the experiences grown. This article compares six previous cases and aims to summarize and discuss their experiences to aid future development. The results show where it is specifically important to make good decisions throughout the modeling methodology, for example goal and scope definition, trustworthy input data for sensitive parts, and communicable impact categories.
  • Keywords
    discrete event simulation; manufacturing systems; marketing; product life cycle management; production engineering computing; DES model; LCA; discrete event simulation; life-cycle assessment; product ecolable; product marketing; production system; robust assessment method; society; Analytical models; Buildings; Data models; Ergonomics; Production systems; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2012 Winter
  • Conference_Location
    Berlin
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4673-4779-2
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2012.6465094
  • Filename
    6465094