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Solution of Bottlenecks in the Logistics Flow by Applying the Kanban Module in the Tecnomatix Plant Simulation Software

Author

Listed:
  • Miriam Pekarcikova

    (Faculty of Mechanical Engineering, Institute of Management, Industrial and Digital Engineering, Technical University of Košice, Park Komenského 9, 042 00 Košice, Slovakia)

  • Peter Trebuna

    (Faculty of Mechanical Engineering, Institute of Management, Industrial and Digital Engineering, Technical University of Košice, Park Komenského 9, 042 00 Košice, Slovakia)

  • Marek Kliment

    (Faculty of Mechanical Engineering, Institute of Management, Industrial and Digital Engineering, Technical University of Košice, Park Komenského 9, 042 00 Košice, Slovakia)

  • Michal Dic

    (Faculty of Mechanical Engineering, Institute of Management, Industrial and Digital Engineering, Technical University of Košice, Park Komenského 9, 042 00 Košice, Slovakia)

Abstract

The presented article deals with the issue of solving bottlenecks in the logistics flow of a manufacturing company. The Tx Plant Simulation software tool is used to detect bottlenecks and deficiencies in the company’s production, logistics and transportation systems. Together with the use of simulation methods and lean manufacturing tools, losses in business processes are eliminated and consequently flow throughput is improved. In the TX Plant Simulation software environment, using Bottleneck analyzer, bottlenecks were defined on the created simulation model and a method of optimizing logistics flows was designed and tested by introducing the Kanban pull system. This resulted in an improvement and throughput of the entire logistics flow, a reduction in inter-operational stocks and an increase in the efficiency of the production system as a whole.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7989-:d:596033
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    References listed on IDEAS

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    2. Miroslav Fusko & Monika Bučková & Martin Gašo & Martin Krajčovič & Ľuboslav Dulina & Radovan Skokan, 2019. "Concept of Long-Term Sustainable Intralogistics in Plastic Recycling Factory," Sustainability, MDPI, vol. 11(23), pages 1-27, November.
    3. Marcel Behun & Patrik Kascak & Matej Hrabcak & Annamaria Behunova & Lucia Knapcikova & Marian Sofranko, 2020. "Investigation of Sustainable Geopolymer Composite Using Automatic Identification Technology," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    4. María Mojarro-Magaña & Jesús Everardo Olguín-Tiznado & Jorge Luis García-Alcaraz & Claudia Camargo-Wilson & Juan Andrés López-Barreras & Rubén Jesús Pérez-López, 2018. "Impact of the Planning from the Kanban System on the Company’s Operating Benefits," Sustainability, MDPI, vol. 10(7), pages 1-24, July.
    5. Raeda Jamal Saada, 2021. "Green Transportation in Green Supply Chain Management," Chapters, in: Tamas Banyai & Ireneusz Kaczmar (ed.), Green Supply Chain - Competitiveness and Sustainability, IntechOpen.
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    Cited by:

    1. Peter Bindzar & Daniel Macuga & Jaroslaw Brodny & Magdalena Tutak & Marcela Malindzakova, 2022. "Use of Universal Simulation Software Tools for Optimization of Signal Plans at Urban Intersections," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    2. Anna Michna & Joanna Kruszewska, 2022. "Determining the Level of Use of the Industry 4.0 Solutions in the COVID-19 Pandemic Era: Results of Empirical Research," Sustainability, MDPI, vol. 14(14), pages 1-26, July.

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