• DocumentCode
    3669229
  • Title

    How to assess sustainability in automated manufacturing

  • Author

    Teunis J. Dijkman;Jan-Markus Rödger;Niki Bey

  • Author_Institution
    Division for Quantitative Sustainability Assessment at the Technical University of Denmark, DK-2800, Kgs. Lyngby, Denmark
  • fYear
    2015
  • Firstpage
    1351
  • Lastpage
    1356
  • Abstract
    The aim of this paper is to describe how sustainability in automation can be assessed. The assessment method is illustrated using a case study of a robot. Three aspects of sustainability assessment in automation are identified. Firstly, we consider automation as part of a larger system that fulfills the market demand for a given functionality. Secondly, three aspects of sustainability have to be assessed: environment, economy, and society. Thirdly, automation is part of a system with many levels, with different actors on each level, resulting in meeting the market demand. In this system, (sustainability) specifications move top-down, which helps avoiding sub-optimization and problem shifting. From these three aspects, sustainable automation is defined as automation that contributes to products that fulfill a market demand in a more sustainable way. The case study presents the carbon footprints of a robot, a production cell, a production line and the final product. The case study results illustrate that, depending on the actor and the level he/she acts at, sustainability and the actions that can be taken to contribute to a more sustainable product are perceived differently: even though the robot is a minor contributor to the carbon footprint at cell or line level, from the perspective of a robot producer reducing the electricity consumption during the robot´s use stage can be a considerable improvement in the carbon footprint of a robot, and thus in the sustainability profile of the robot.
  • Keywords
    "Robots","Automation","Carbon","Manufacturing","Production facilities","Context"
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2015 IEEE International Conference on
  • ISSN
    2161-8070
  • Electronic_ISBN
    2161-8089
  • Type

    conf

  • DOI
    10.1109/CoASE.2015.7294286
  • Filename
    7294286