IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2405.02445.html
   My bibliography  Save this paper

Energy Price and Workload Related Dispatching Rule: Balancing Energy and Production Logistics Costs

Author

Listed:
  • Balwin Bokor
  • Wolfgang Seiringer
  • Klaus Altendorfer
  • Thomas Felberbauer

Abstract

In response to the escalating need for sustainable manufacturing practices amid fluctuating energy prices, this study introduces a novel dispatching rule that integrates energy price and workload considerations with Material Requirement Planning (MRP) to optimize production logistics and energy costs. The dispatching rule effectively adjusts machine operational states, i.e. turn the machine on or off, based on current energy prices and workload. By developing a stochastic multi-item multi-stage job shop simulation model, this research evaluates the performance of the dispatching rule through a comprehensive full-factorial simulation. Findings indicate a significant enhancement in shop floor decision-making through reduced overall costs. Moreover, the analysis of the Pareto front reveals trade-offs between minimizing energy and production logistics costs, aiding decision-makers in selecting optimal configurations.

Suggested Citation

  • Balwin Bokor & Wolfgang Seiringer & Klaus Altendorfer & Thomas Felberbauer, 2024. "Energy Price and Workload Related Dispatching Rule: Balancing Energy and Production Logistics Costs," Papers 2405.02445, arXiv.org, revised Sep 2024.
    • Handle: RePEc:arx:papers:2405.02445
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2405.02445
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Klaus Altendorfer, 2019. "Effect of limited capacity on optimal planning parameters for a multi-item production system with setup times and advance demand information," International Journal of Production Research, Taylor & Francis Journals, vol. 57(6), pages 1892-1913, March.
    2. Alberto Loffredo & Nicla Frigerio & Ettore Lanzarone & Andrea Matta, 2024. "Energy-efficient control in multi-stage production lines with parallel machine workstations and production constraints," IISE Transactions, Taylor & Francis Journals, vol. 56(1), pages 69-83, January.
    3. Nicla Frigerio & Barış Tan & Andrea Matta, 2024. "Simultaneous control of multiple machines for energy efficiency: a simulation-based approach," International Journal of Production Research, Taylor & Francis Journals, vol. 62(3), pages 933-948, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mikhail Y. Kovalyov & Mikhail N. Lukashevich & Erwin Pesch, 2023. "Cost minimizing planning of container inspection and repair in multiple facilities," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 181-204, March.
    2. Wolfgang Seiringer & Balwin Bokor & Klaus Altendorfer, 2024. "Evaluating Production Planning and Control Systems in Different Environments: A Comparative Simulation Study," Papers 2405.02015, arXiv.org, revised Sep 2024.
    3. Gonçalves, João N.C. & Sameiro Carvalho, M. & Cortez, Paulo, 2020. "Operations research models and methods for safety stock determination: A review," Operations Research Perspectives, Elsevier, vol. 7(C).
    4. Barros, Júlio & Cortez, Paulo & Carvalho, M. Sameiro, 2021. "A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process," Operations Research Perspectives, Elsevier, vol. 8(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2405.02445. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.