• DocumentCode
    188463
  • Title

    Determination of the prospective energy consumption of manufacturing technologies with methods-energy measurement (MEM)

  • Author

    Bornschlegl, Martin ; Spreng, Simon ; Kreitlein, Sven ; Bregulla, Markus ; Franke, Jorg

  • fYear
    2014
  • fDate
    Sept. 30 2014-Oct. 1 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The reduction of energy costs of manufacturing technologies is both an important and current objective for factory operators. But mostly, this idea to reduce the energy consumption is being implemented after the manufacturing technologies are installed. However, it would be more advantageous if efforts were made to save energy during the early planning process. To achieve an estimation of the energy consumption in this early planning stage, a new suitable forecast method is required. Therefore, this paper shows how the prospective energy consumption can be determined by using Methods-Energy Measurement (MEM). Based on the needs of production planners, future challenges and requirements for MEM are listed. Further-more, the concept of basic energy elements and their value determination techniques are introduced, and different possibilities are outlined and assessed. For an easier determination of the energy demands of a complex production cell or manufacturing equipment, standard equipment patterns will be designed. This template supports both planners and decision-makers to create reliable and standardized Resource Performance Indicators (RPI). Subsequently, the architecture of the MEM-calculation model is presented. This approach enables a holistic estimation of the energy consumption of manufacturing technologies and leads to higher levels of transparency. Furthermore, MEM contributes to identify and realize sustainable solutions in advance and as a result, increases the profitability of a factory.
  • Keywords
    cost reduction; energy consumption; manufacturing industries; production planning; MEM-calculation model; RPI; manufacturing technologies energy consumption; methods-energy measurement; production planning; standardized resource performance indicators; Computer architecture; Economic indicators; Energy consumption; Manufacturing; Planning; Production; Robots; Methods-Energy Measurement; energy consumption; energy efficiency; green design; production planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Drives Production Conference (EDPC), 2014 4th International
  • Conference_Location
    Nuremberg
  • Print_ISBN
    978-1-4799-5008-9
  • Type

    conf

  • DOI
    10.1109/EDPC.2014.6984427
  • Filename
    6984427