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Tytuł artykułu

Simulation in the digital factory: A case study

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper deals with computer simulation to achieve system optimization for warehouse management on a digital factory model. The Tecnomatix Plant Simulation program is used as a tool for a modern simulation environment. The case study realized two simulation experiments focusing on storage and optimizing storage warehouse processes. The study's experiments analyzed and solved mutual blockages of forklift trucks in shelf aisles and determined the optimal number of forklift trucks in the logistics system involved in loading and unloading trucks. Collisions between service and handling equipment in the aisles can restrict or block material flow from the warehouse to production. Therefore, it is necessary to change the arrangement of individual materials in the warehouse and determine the optimal number of service and handling equipment.
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Twórcy
  • Institute of Logistics and Transport, Faculty BERG, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovak Republic
  • Institute of Logistics and Transport, Faculty BERG, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovak Republic
  • nstitute of Logistics and Transport, Faculty BERG, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovak Republic
autor
  • Institute of Logistics and Transport, Faculty BERG, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovak Republic
  • Institute of Logistics and Transport, Faculty BERG, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovak Republic
Bibliografia
  • 1. Amorim‐Lopes, M., Guimarães, L., Alves, J., Almada‐Lobo, B. Improving picking performance at a large retailer warehouse by combining probabilistic simulation, optimisation, and discrete‐event simulation. Int. Trans. Oper. Res. 2021, 28, 687–715. https://doi.org/10.1111/itor.12852.
  • 2. Burinskiene, A., Lorenc, A., Lerher, T. A simulation study for the sustainability and reduction of waste in warehouse logistics. Int. J. Simul. Model. 2018, 17, 485–497.
  • 3. Ganbold, O., Kundu, K., Li, H., Zhang, W. A simulation-based optimization method for warehouse worker assignment. Algorithms 2020, 13, 326. https://doi.org/10.3390/a13120326.
  • 4. Vieira, A.A.C., Dias, L.M.S., Pereira, G.A.B., Oliveira, J.A., Carvalho, M.D.S., Martins, P. Simulation model generation for warehouse management: a case study to test different storage strategies. Int. J. Simul. Process Model. 2018, 13, 324. https://doi.org/10.1504/IJSPM.2018.093761.
  • 5. Bučková, M., Krajčovič, M., Plinta, D. Use of dynamic simulation in warehouse designing, in: intelligent systems in production engineering and maintenance. ISPEM 2018. 2019, 485–498. https://doi.org/10.1007/978-3-319-97490-3_47.
  • 6. Peixoto, R., Dias, L., Carvalho, M.S., Pereira, G., Geraldes, C.A.S. An automated warehouse design validation using discrete simulation, in: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2016, 199–204. https://doi.org/10.1109/ITSC.2016.7795554.
  • 7. Hsieh, L., Tsai, L. The optimum design of a warehouse system on order picking efficiency. Int. J. Adv. Manuf. Technol. 2006, 28, 626–637. https://doi.org/10.1007/s00170-004-2404-0.
  • 8. Hietasari, D.N., Subianto, D.I., Adi, T.W. Conceptual framework of warehouse management system with auto suggesting features for FIFO/FEFO implementation towards lean warehousing. 2024, 030011. https://doi.org/10.1063/5.0181463.
  • 9. Kuhn, W., Digital Factory - Simulation Enhancing the Product and Production Engineering Process, in: Proceedings of the 2006 Winter Simulation Conference. IEEE, 2006, 1899–1906. https://doi.org/10.1109/WSC.2006.322972.
  • 10. Arndt, F.W., n.d. The digital factory planning and simulation of production in automotive industry, in: Informatics in control, automation and robotics I. Kluwer Academic Publishers, Dordrecht, 27–29. https://doi.org/10.1007/1-4020-4543-3_3.
  • 11. Bucková, M., Krajcovic, M., Jerman, B. Impact of digital factory tools on designing of warehouses. Istraz. i Proj. za privredu 2017, 15, 173–180. https://doi.org/10.5937/jaes15-13245.
  • 12. Tong, Q., Ming, X., Zhang, X., Construction of sustainable digital factory for automated warehouse based on integration of ERP and WMS. Sustainability 2023, 15, 1022. https://doi.org/10.3390/su15021022.
  • 13. Kihel, Y. El. Digital transition methodology of a warehouse in the concept of sustainable development with an industrial case study. Sustainability 2022, 14, 15282. https://doi.org/10.3390/su142215282.
  • 14. Hovanec, M., Korba, P., Vencel, M., Al-Rabeei, S. Simulating a digital factory and improving production efficiency by using virtual reality technology. Appl. Sci. 2023, 13, 5118. https://doi.org/10.3390/app13085118.
  • 15. Guizzi, G., Falcone, D., De Felice, F. An integrated and parametric simulation model to improve production and maintenance processes: Towards a digital factory performance. Comput. Ind. Eng. 2019, 137, 106052. https://doi.org/10.1016/j.cie.2019.106052.
  • 16. Yildiz, E., Møller, C., Bilberg, A. Virtual factory: Digital twin based integrated factory simulations. Procedia CIRP 2020, 93, 216–221. https://doi.org/10.1016/j.procir.2020.04.043.
  • 17. Hovanec, M., Píľa, J., Korba, P., Pačaiová, H. Plant Simulation as an Instrument of Logistics and Transport of Materials in a Digital Factory. Naše more 2015, 62, 187–192. https://doi.org/10.17818/NM/2015/SI18.
  • 18. Gagliardi, J.P., Renaud, J., Ruiz, A., A simulation model to improve warehouse operations, in: 2007 Winter Simulation Conference. IEEE, 2007, 2012–2018. https://doi.org/10.1109/WSC.2007.4419831.
  • 19. Siderska, J. Application of Tecnomatix plant simulation for modelling production and logistics processes. Business, Manag. Educ. 2016, 14, 64–76. https://doi.org/10.3846/bme.2016.316.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b93716ff-0bf1-45ce-9ebc-edad85b04267
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