• DocumentCode
    2192174
  • Title

    Simulation-Based Decision Support for the Reduction of the Energy Consumption of Complex Business Processes

  • Author

    Lubbecke, Patrick ; Reiter, Markus ; Fettke, Peter ; Loos, Peter

  • fYear
    2015
  • fDate
    5-8 Jan. 2015
  • Firstpage
    866
  • Lastpage
    875
  • Abstract
    With this paper we introduce a simulation approach to Green Business Process Management (Green BPM). While objectives for business processes are traditionally economic (e.g. Costs or cycle time), our approach focuses on the energy consumption and the carbon footprint of complex business processes. We present an approach for applying Business Process Simulation (BPS) techniques to the subject, using established simulation software. After developing the simulation concept for reducing the energy demand of complex business process execution instances, we demonstrate its practical relevance by applying the simulation to a real-world business process of a German energy supplier. With the reduction of the energy consumption by 28% we could not only demonstrate that BPS is capable of optimizing the energy consumption of business processes. BPS also supports the analysis of path complexities of business process models and can therefore serve as preparation for effective decision-making in an ecological context.
  • Keywords
    business data processing; decision support systems; green computing; BPS techniques; German energy supplier; carbon footprint; complex business process execution instances; decision-making; ecological context; energy consumption optimization; energy consumption reduction; energy demand reduction; green BPM; green business process management; path complexity analysis; real-world business process simulation; simulation-based decision support; Air pollution; Analytical models; Biological system modeling; Business; Energy consumption; Green products; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2015 48th Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • ISSN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2015.109
  • Filename
    7069892