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Automation of tasks performed by people is one of the natural activities influencing the optimization of production time in Industry 4.0. It helps to eliminate errors and reduce work in conditions dangerous for people. In addition, the implementation of automation allows to shorten production time, save resources, protect the environment and provides a competitive advantage. This publication describes the implementation of the system implemented by us for the integration of two cutting laser stations with one automatic sheet metal storage system and an automatic loading and unloading system to the cutting laser workstations. These activities were previously performed manually by employees. Thanks to the automation of these activities, the preparation and production time was shortened and errors resulting from the need to manually manage the number of sheet metal sheets were eliminated. The system includes a control panel with information on real-time stocks and the production process. The system includes a database informing about the current states of sheet metal sheets available in the automatic warehouse and the number of sheet metal sheets used in the production process. Integration with the ERP system allows the staff to be informed in real time about the production progress, laser cutting time, downtime and the current stock levels of sheet metal in the automatic sheet metal warehouse.
Wydawca
Rocznik
Tom
Strony
365--376
Opis fizyczny
Bibliogr. 21 poz., fig., tab.
Twórcy
autor
- Department of Mechanical Engineering and Technology, Rzeszów University of Technology, Eugeniusza Kwiatkowskiego 4, Stalowa Wola, 37-450, Poland
autor
- Department of Mechanical Engineering and Technology, Rzeszów University of Technology, Eugeniusza Kwiatkowskiego 4, Stalowa Wola, 37-450, Poland
autor
- Department of Mechanical Engineering and Technology, Rzeszów University of Technology, Eugeniusza Kwiatkowskiego 4, Stalowa Wola, 37-450, Poland
Bibliografia
- 1. Tutak, J.S.; Wiech, J. Horizontal automated storage and retrieval system. Advances in Science and Technology Research Journal. 2017, 11(1), 82–95. https://doi.org/10.12913/22998624/68470.
- 2. Yanni, X. Optimization of cutting-related processes for consumer-centered manufacturing. 2020. https://pepite-depot.univ-lille.fr/LIBRE/EDSPI/2020/50376-2020-Xu.pdf (Accessed: 23.01.2025).
- 3. Mourtzis, D.; Doukas, M.; Psarommatis, F. A toolbox for the design, planning and operation of manufacturing networks in a mass customisation environment. Journal of Manufacturing Systems. 2015, 36, 274–286. https://doi.org/10.1016/j.jmsy.2014.06.004.
- 4. Bulakh, M.; Klich, L.; Baranovska, O.; Baida, A.; Myamlin, S. Reducing traction energy consumption with a decrease in the weight of an all-metal gondola car. Energies. 2023, 16, 6733. https://doi.org/10.3390/en16186733.
- 5. Baranovskyi, D.; Bulakh, M.; Myamlin, S.; Kebal, I. New design of the hatch cover to increase the carrying capacity of the gondola car. Advances in Science and Technology Research Journal. 2022, 16(6), 186–191. https://doi.org/10.12913/22998624/156205.
- 6. SHENCHONG. Metal Automation Loading and Unloading System Ultimate Guide. 2023. https://www.shen-chong.com/metal-automation-loading-and-unloading-system-ultimate-guide/ (Accessed: 23.01.2025).
- 7. Frank, A.G.; Dalenogare, L.S.; Ayala, N.F. Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics. 2019, 210, 15–26. http://dx.doi.org/10.1016/j.ijpe.2019.01.004.
- 8. Nikose, M.D.; Vaidya, O.S.; Ambekar, S.M. Future of robotic laser cutting in the industry 4.0 era. European Chemical Bulletin. 2023, 202, 1017–1027. https://doi.org/10.31838/ecb/2023.12.s3.115.
- 9. Mohrbacher, H. Laser-based manufacturing concepts for tailor-welded sheet metals. Advances in Manufacturing. 2014, 2, 332–340. https://doi.org/10.1007/s40436-014-0088-8.
- 10. Nagel, J.; Liou, F. Designing a modular rapid manufacturing process. Journal of Manufacturing Science and Engineering. 2009, 132. https://doi.org/10.1115/DETC2009-86707.
- 11. Gestisoft. 38 Benefits of ERP Systems for Manufacturing. Optimizing Operations. 2023. https://www.gestisoft.com/en/blog/38-benefits-of-manufacturing-erp-systems-optimizing-operations (Accessed: 23.01.2025).
- 12. Palchevskyi, B.; Swic, A.; Krestyanpol, H. Increasing efficiency of flexible manufacturing systems. Advances in Science and Technology Research Journal. 2018, 12(2), 6–10. https://doi.org/10.12913/22998624/92093.
- 13. Debnárová, L.; Krchová, D.; Kuric, I. Group technology in context of the product classification. Advances in Science and Technology Research Journal. 2014, 8(21), 78–81. https://doi.org/10.12913/22998624.1091883.
- 14. Gochel, A.; Gebeyehu, S.G.; Abebe, M. Production lead time improvement through lean manufacturing. International Journal of Industrial and Systems Engineering. 2022, 40(2), 147–156. http://dx.doi.org/10.1504/IJISE.2022.121045.
- 15. Martinez-Jurado, P.J.; Moyano-Fuentes, J. Lean management, supply chain management and sustainability: A literature review. Journal of Cleaner Production. 2014, 85, 134–150. https://doi.org/10.1016/j.jclepro.2013.09.042.
- 16. Abdulmalek, F.A.; Rajgopal, J. Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study. International Journal of Production Economics. 2007, 107(1), 223–236. https://doi.org/10.1016/j.ijpe.2006.09.009.
- 17. Chmielowiec, A.; Klich, L.; Woś, W.; Błachowicz, A. Implementation of the maintenance cost optimization function in manufacturing execution system. Springer Nature Switzerland. 2023, 133–154. https://doi.org/10.1007/978-3-031-39386-0_7.
- 18. Chmielowiec, A.; Klich, L. Application of Python libraries for variance, normal distribution and Weibull distribution analysis in diagnosing and operating production systems. Diagnostyka. 2021, 22(4), 89–105. https://doi.org/10.29354/diag/144479.
- 19. The Industrial Interoperability Standard, https://opcfoundation.org (Accessed: 23.01.2025).
- 20. OPC UA / IEC 62541 Client and Server for Python, https://github.com/FreeOpcUa/opcua-asyncio (Accessed: 23.01.2025).
- 21. Tamás, P.; Illés, B. Simulation of a flexible manufacturing system. Advanced Logistic Systems: Theory and Practice. 2012, 1(6), 25–32.
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-b62a718e-0978-46fc-96dd-aaee78cf16af
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