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Application of Discrete Event Simulation in the Analysis of Electricity Consumption in Logistics Processes

Author

Listed:
  • Szymon Pawlak

    (Department of Production Engineering, Faculty of Materials Engineering, Silesian University of Technology, Krasińskiego 8, 40-019 Katowice, Poland)

  • Mariola Saternus

    (Department of Metallurgy and Recycling, Faculty of Materials Engineering, Silesian University of Technology, Krasińskiego 8, 40-019 Katowice, Poland)

  • Krzysztof Nowacki

    (Department of Production Engineering, Faculty of Materials Engineering, Silesian University of Technology, Krasińskiego 8, 40-019 Katowice, Poland)

Abstract

Implementing solutions consistent with the Industry 4.0 concept, including digitalization and process automation, plays a significant role in improving the efficiency and sustainable development of manufacturing companies. One of the key areas of this transformation is internal logistics, where simulation technologies and autonomous transport systems are gaining increasing importance. The aim of this article was to assess the potential of using computer simulation as a tool to support the process of reducing the electricity consumption of electric forklifts in logistics processes. The developed methodology can serve as a foundation for a wider use of digital tools in internal logistics planning, covering not only production goals but also improving energy efficiency and reducing emissions. Importantly, the proposed approach can be a starting point for decision makers in manufacturing and logistics companies, encouraging the use of simulation as a tool to support decisions. In the longer term, the results open the way for analyses focused on the implementation of green technology solutions and the integration of electric vehicles with renewable energy sources, in line with corporate sustainable development strategies.

Suggested Citation

  • Szymon Pawlak & Mariola Saternus & Krzysztof Nowacki, 2025. "Application of Discrete Event Simulation in the Analysis of Electricity Consumption in Logistics Processes," Energies, MDPI, vol. 18(17), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:17:p:4580-:d:1736954
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    References listed on IDEAS

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    1. Mohammad Mansour & Amal Gamal & Ahmed I. Ahmed & Lobna A. Said & Abdelmoniem Elbaz & Norbert Herencsar & Ahmed Soltan, 2023. "Internet of Things: A Comprehensive Overview on Protocols, Architectures, Technologies, Simulation Tools, and Future Directions," Energies, MDPI, vol. 16(8), pages 1-39, April.
    2. Eugenia-Alina Roman & Armand-Serban Stere & Eugen Roșca & Adriana-Valentina Radu & Denis Codroiu & Ilie Anamaria, 2025. "State of the Art of Digital Twins in Improving Supply Chain Resilience," Logistics, MDPI, vol. 9(1), pages 1-33, February.
    3. Ruixue Zhang & Huate Zhu & Qinglin Chang & Qirong Mao, 2025. "A Comprehensive Review of Digital Twins Technology in Agriculture," Agriculture, MDPI, vol. 15(9), pages 1-25, April.
    4. Łukasz Rokicki & Mirosław Parol & Piotr Pałka & Marcin Kopyt, 2025. "Reducing the Peak Power Demand and Setting the Proper Operating Regimes of Electrical Energy Devices in an Industrial Factory Using a Multi-Agent System—The Solutions of the DIEGO Project," Energies, MDPI, vol. 18(10), pages 1-33, May.
    5. Miriam Pekarcikova & Peter Trebuna & Marek Kliment & Michal Dic, 2021. "Solution of Bottlenecks in the Logistics Flow by Applying the Kanban Module in the Tecnomatix Plant Simulation Software," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    6. Marta Daroń & Monika Górska, 2023. "Relationships between Selected Quality Tools and Energy Efficiency in Production Processes," Energies, MDPI, vol. 16(13), pages 1-20, June.
    7. Wieslaw Urban, 2022. "Energy Savings in Production Processes as a Key Component of the Global Energy Problem—The Introduction to the Special Issue of Energies," Energies, MDPI, vol. 15(14), pages 1-4, July.
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