• DocumentCode
    666390
  • Title

    An energy wastage identification and prevention approach for the manufacturing industry

  • Author

    Cremer, Ruth ; Bleider, Martin ; Scheibmayer, M.

  • Author_Institution
    FIR, Inst. for Ind. Manage., RWTH Aachen, Aachen, Germany
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    4351
  • Lastpage
    4356
  • Abstract
    Avoiding energy wastage is a key element to stay competitive for manufacturing companies in the future. This paper presents an energy wastage identification and prevention approach for manufacturing environments. The approach describes the occurring types of energy wastage within manufacturing and specific indicators to identify each of them. Including additional external information, the significance of an identified on-going wastage can be determined and based on the type of wastage and the significance, concrete recommendations for measures to prevent the wastage are delivered. The approach provides a basis for a detailed energy efficiency concept adaptable to a specific company. The information processing procedures described in this approach are designed to be implemented with complex event processing technology enabling real-time information processing and quick reactions to prevent energy wastage.
  • Keywords
    energy conservation; industrial waste; information management; manufacturing industries; energy efficiency; energy wastage identification; energy wastage prevention; external information; information processing; manufacturing industry; Companies; Energy consumption; Energy efficiency; Energy measurement; Manufacturing; Production management; Real-time systems; actuators and systems integration; complex event processing; energy efficiency; information processing and communications; real-time information processing; sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6699835
  • Filename
    6699835