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Simulation-based Optimization for Material Handling System: A Cement Plant Case Study

Author

Listed:
  • Fabianová Jana

    (Technical University of Kosice, Faculty of Mining, Ecology, Process Control and Geotechnology, Institute of logistics and Transport, Letná 9, 042 00 Košice, Slovakia)

  • Rigó Ladislav

    (Technical University of Kosice, Faculty of Mining, Ecology, Process Control and Geotechnology, Institute of logistics and Transport, Letná 9, 042 00 Košice, Slovakia)

  • Kostovčík Martin

    (Technical University of Kosice, Faculty of Mining, Ecology, Process Control and Geotechnology, Institute of logistics and Transport, Letná 9, 042 00 Košice, Slovakia)

  • Palinský Ján

    (Technical University of Kosice, Faculty of Mining, Ecology, Process Control and Geotechnology, Institute of logistics and Transport, Letná 9, 042 00 Košice, Slovakia)

Abstract

This paper addresses the optimization of material supply and handling using simulations. The primary objective is to reduce loader downtime by improving raw material procurement and revising the work schedule for material delivery and loader operations. Through the adjustments in the scheduling of raw material deliveries, excessive idle times of handling equipment are minimized. A simulation model is designed to compare the current state with the proposed optimized scenario. The reorganization reduced loader downtime by improving raw material procurement. The simulation results indicate a decrease in loader downtime, from 33% to 13% of total available time. The analysis of storage box occupancy reveals a notable increase in supply efficiency at the outdoor landfill. Adjustments enable the delivery of larger quantities of gypsum within shorter timeframes, maximizing stored material without exceeding storage capacity constraints.

Suggested Citation

  • Fabianová Jana & Rigó Ladislav & Kostovčík Martin & Palinský Ján, 2024. "Simulation-based Optimization for Material Handling System: A Cement Plant Case Study," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 15(1), pages 1-11.
    • Handle: RePEc:vrs:logitl:v:15:y:2024:i:1:p:11:n:1002
    DOI: 10.2478/logi-2024-0013
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    References listed on IDEAS

    as
    1. Justyna Smagowicz & Cezary Szwed & Tomaž Berlec, 2024. "An Assortment–Quantity Optimization Problem in Printing Industry Using Simulation Modelling," Sustainability, MDPI, vol. 16(4), pages 1-25, February.
    2. Raffaele Carli & Mariagrazia Dotoli & Salvatore Digiesi & Francesco Facchini & Giorgio Mossa, 2020. "Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model," Sustainability, MDPI, vol. 12(8), pages 1-25, April.
    3. Miguel Vieira & Samuel Moniz & Bruno S. Gonçalves & Tânia Pinto-Varela & Ana Paula Barbosa-Póvoa & Pedro Neto, 2022. "A two-level optimisation-simulation method for production planning and scheduling: the industrial case of a human–robot collaborative assembly line," International Journal of Production Research, Taylor & Francis Journals, vol. 60(9), pages 2942-2962, May.
    Full references (including those not matched with items on IDEAS)

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