Analysis of the effect of using digital instructions on efficiency and cost-effectiveness of the assembly process

• Autorzy: Terelak-Tymczyna Agnieszka , Wojdyła Julia , Pytka Dominika , Górnostaj Artur

Identyfikatory

DOI

10.12913/22998624/203589

• Języki publikacji: EN

Abstrakty

EN

Digitization of processes is one of the important elements of Industry 4.0, which is becoming an increasingly popular form of introducing improvements in production processes. The aim of the article is to study a modern solution aimed at improving the workflow, which is the digitization of assembly processes. The article raises issues related to the introduction of digital instructions to the assembly process on the example of pump assembly. The focus was mainly on the comparison of work efficiency by comparing the time of product implementation using traditional paper and digital instructions. The impact of the use of programmable tools on the time of order completion and the achievement of the "zero defects" effect was also examined. The study also allowed to determine the economic benefits of introducing digital instructions.

Słowa kluczowe

EN

quality control; digital instruction; assembly process; productivity; digitisation of the assembly; programmable tool

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2025
• Tom: Vol. 19, no. 7
• Strony: 496--510
• Opis fizyczny: Bibliogr. 24 poz., fig., tab.

Twórcy

autor

Terelak-Tymczyna Agnieszka

• Faculty of Marine Engineering, Department of Machine Design Fundamentals, Maritime University in Szczecin, ul. Wały Chrobrego 1-2 70-500 Szczecin, Poland
• Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology in Szczecin, al. Piastów 19, 70-310 Szczecin, Poland

• https://orcid.org/0000-0002-6625-0067

autor

Wojdyła Julia

• Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology in Szczecin, al. Piastów 19, 70-310 Szczecin, Poland

autor

Pytka Dominika

• Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology in Szczecin, al. Piastów 19, 70-310 Szczecin, Poland

• https://orcid.org/0009-0008-7528-5406

autor

Górnostaj Artur

• Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology in Szczecin, al. Piastów 19, 70-310 Szczecin, Poland
• Faculty of Navigation, Department of Geodesy and Offshore Surveying, Maritime University of Technology in Szczecin, ul. Wały Chrobrego 1-2 70-500 Szczecin, Poland

• https://orcid.org/0000-0002-3474-5620

Bibliografia

• 1. Wahlster W. (2014). Semantic technologies for mass customization, in Towards the Internet of Services: The THESEUS Research Program, W. Wahlster, H.-J. Grallert, S. Wess, H. Friedrich, i T. Widenka, Red., in Cognitive Technologies. Cham: Springer International Publishing, 3–13. doi: 10.1007/978-3-319-06755-1\_1.
• 2. Stockinger C., Polanski-Schräder L., Subtil I. (2023). The effect of information level of digital worker guidance systems on assembly performance, user experience and strain, Appl. Ergon., 106, doi: 10.1016/j.apergo.2022.103896.
• 3. Duffie N., Bendul J., Knollmann I M. (2017). An analytical approach to improving due-date and lead-time dynamics in production systems, J. Manuf. Syst., 45, 273–285, doi: 10.1016/j.jmsy.2017.10.001.
• 4. Lakshmanan R., Nyamekye P., Virolainen V.-M., Piili I H. (2023). The convergence of lean management and additive manufacturing: Case of manufacturing industries, Clean. Eng. Technol., 13, doi: 10.1016/j.clet.2023.100620.
• 5. Effendi M. S. M. et al. (2021). Analysis of an assembly process and environmental impact for a new design of food grater, presented on AIP Conference Proceedings, doi: 10.1063/5.0044551.
• 6. Aichner P. C. I. T. (2011). Mass Customization, in Mass Customization: An Exploration of European Characteristics, P. Coletti i T. Aichner, Red., w SpringerBriefs in Business. Berlin, Heidelberg: Springer, 23–40. doi: 10.1007/978-3-642-18390-4\_2.
• 7. Juniani A. I., Singgih M. L., Karningsih I P. D. (2022). Design for manufacturing, assembly, and reliability: an integrated framework for product redesign and innovation, Designs, 6(5), doi: 10.3390/designs6050088.
• 8. Jin Z., Marian R. M., Chahl I J. S. (2023). Achieving batch-size-of-one production model in robot flexible assembly cells, Int. J. Adv. Manuf. Technol., 126(5–6), 2097–2116, doi: 10.1007/s00170-023-11246-y.
• 9. Ling S., Guo D., Rong Y., Huang G. Q. (2022). Real-time data-driven synchronous reconfiguration of human-centric smart assembly cell line under graduation intelligent manufacturing system, J. Manuf. Syst., 65, 378–390, doi: 10.1016/j.jmsy.2022.09.022.
• 10. Zhang M., Tseng M. M. (2007). A product and process modeling based approach to study cost implications of product variety in mass customization, IEEE Trans. Eng. Manag., 54(1), 130–144, doi: 10.1109/TEM.2006.889072.
• 11. Falck A.-C., Örtengren R., Rosenqvist M., Söderberg I R. (2017). Basic complexity criteria and their impact on manual assembly quality in actual production, Int. J. Ind. Ergon., 58, 117–128, doi: 10.1016/j.ergon.2016.12.001.
• 12. Cohen Y., Faccio M., Galizia F. G., Mora C., Pilati I F. (2017). Assembly system configuration through Industry 4.0 principles: the expected change in the actual paradigms, 14958–14963. doi: 10.1016/j.ifacol.2017.08.2550.
• 13. Fast-Berglund Å., Fässberg T., Hellman F., Davidsson A., Stahre I J. (2013). Relations between complexity, quality and cognitive automation in mixed-model assembly, J. Manuf. Syst., 32(3), 449–455, doi: 10.1016/j.jmsy.2013.04.011.
• 14. Fan Y. et al. (2021). A digital-twin visualized architecture for flexible manufacturing system, J. Manuf. Syst., 60, 176–201, doi: 10.1016/j.jmsy.2021.05.010.
• 15. Daneshjo N., Sabadka D., Malega P., Dzuro M., Jankovič M. (2022). Creation of more efficient work environment through the new design of the automatic robotic assembly station, Adv. Sci. Technol. Res. J., 16, 74–84, doi: 10.12913/22998624/151547.
• 16. Tlach V., Kuric I., Zajačko I., Kumičáková D., Rengevič A. (2018). The design of method intended for implementation of collaborative assembly tasks, Adv. Sci. Technol. Res. J., 12, 244–250, doi: 10.12913/22998624/86476.
• 17. Dolgui A., Sgarbossa F., Simonetto I M. (2021). Design and management of assembly systems 4.0: systematic literature review and research agenda, Int. J. Prod. Res., 60, 184–210, doi: 10.1080/00207543.2021.1990433.
• 18. Gorobets V., Holzwarth V., Hirt C., Jufer N., Kunz A. (2021). A VR-based approach in conducting MTM for manual workplaces, Int. J. Adv. Manuf. Technol., 117(7), 2501–2510, doi: 10.1007/s00170-021-07260-7.
• 19. Wolfartsberger J., Zimmermann R., Obermeier G., Niedermayr D. (2023). Analyzing the potential of virtual reality-supported training for industrial assembly tasks, Comput. Ind., 147, doi: 10.1016/j.compind.2022.103838.
• 20. Zogopoulos V., Geurts E., Gors D., Kauffmann S. (2022). Authoring tool for automatic generation of augmented reality instruction sequence for manual operations, Procedia CIRP, 106, 84–89, doi: 10.1016/j.procir.2022.02.159.
• 21. Hansen J. P., Mardanbegi D., Biermann F., Bækgaard P. (2018). A gaze interactive assembly instruction with pupillometric recording, Behav. Res. Methods, 50(4), 1723–1733, doi: 10.3758/s13428-018-1074-z.
• 22. Kurdve M. (2018). Digital assembly instruction system design with green lean perspective—Case study from building module industry, Procedia CIRP, 72, 762–767, doi: 10.1016/j.procir.2018.03.118.
• 23. Daneshjo N., Mares A., Pajerska E. D., Hajduova Z. (2018). Designing and upgrading the assembly process and verifying the performance of the pick to light system program, Adv. Sci. Technol., 12(4), 126–135, doi: 10.12913/22998624/100346.
• 24. Schuh G., Franzkoch B., Prote J.-P., Luckert M., Sauermann F., Basse I F. (2017). Analysis of the Potential Benefits of Digital Assembly Instructions for Single and Small Batch Production, w Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, H. Lödding, R. Riedel, K.-D. Thoben, G. von Cieminski, i D. Kiritsis, Red., w IFIP Advances in Information and Communication Technology. Cham: Springer International Publishing, 346–353. doi: 10.1007/978-3-319-66923-6\_41.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).