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Classification, Input Data, and Key Performance Indicators

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Energy-Related Material Flow Simulation in Production and Logistics

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Abstract

Simulation is a well-known technology for production and logistics, especially for the planning of new systems and the examination of ideas to optimize existing ones. In the past, the main target of such studies has been costs of equipment and personnel, but the continuously stricter view on consumption of energy has shifted this focus towards the analysis of energy consumption and emission of greenhouse gas. In some cases this might be straightforward, e.g., when the resulting production hours can just be multiplied with energy consumption per hour. Many cases, however, are far more complicated and can only be sufficiently analyzed when the detailed dynamics of energy consumption are already considered in the simulation model. Thus, a number of different approaches exist to model energy aspects in simulation models, depending on the goal of the investigation and the kind of production or logistics process. This chapter classifies these approaches in a morphological box and explains the details of the related categories. Furthermore, it discusses the requirements to input data that arise when simulation models are amended with energy components, and discusses the additional results that can be gained from such models.

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Authors and Affiliations

  1. Technische Universität Dortmund, Fachgebiet IT in Produktion und Logistik, Leonhard‐Euler‐Straße 5, 44227, Dortmund, Germany

    Markus Rabe

  2. ABB Stotz‐Kontakt GmbH, Eppelheimer Str. 82, 69123, Heidelberg, Germany

    Johannes Stoldt

  3. Technische Universität Ilmenau, Fakultät für Maschinenbau, Fachgebiet Informationstechnik in Produktion und Logistik, Max-Planck-Ring 12, 98693, Ilmenau, Germany

    Steffen Strassburger

  4. Fakultät Wirtschaft und Informatik, Institute for Applied Data Science Hanover, Hochschule Hannover, Ricklinger Stadtweg 120, 30459, Hannover, Germany

    Christoph von Viebahn

Authors
  1. Markus Rabe
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  2. Johannes Stoldt
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  3. Steffen Strassburger
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  4. Christoph von Viebahn
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Corresponding author

Correspondence to Markus Rabe .

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Editors and Affiliations

  1. Fachbereich Maschinenbau Fachgebiet Produktionsorganisation und Fabrikplanung, Universität Kassel, Kassel, Germany

    Sigrid Wenzel

  2. IT in Produktion und Logistik, TU Dortmund, Maschinenbau, Dortmund, Germany

    Markus Rabe

  3. Fakultät für Maschinenbau, Technische Universität Ilmenau, Ilmenau, Germany

    Steffen Strassburger

  4. Fakultät IV - WI, Hochschule Hannover, Hannover, Niedersachsen, Germany

    Christoph von Viebahn

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Rabe, M., Stoldt, J., Strassburger, S., von Viebahn, C. (2024). Classification, Input Data, and Key Performance Indicators. In: Wenzel, S., Rabe, M., Strassburger, S., von Viebahn, C. (eds) Energy-Related Material Flow Simulation in Production and Logistics. Springer, Cham. https://doi.org/10.1007/978-3-031-34218-9_1

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  • DOI: https://doi.org/10.1007/978-3-031-34218-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34217-2

  • Online ISBN: 978-3-031-34218-9

  • eBook Packages: EngineeringEngineering (R0)

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