Abstract
Industry 4.0 brings to factories the ability to increase their competitiveness through implementation of the concept Factories of the Future. This concept is built on pillars such as advanced manufacturing processes, mechatronics, ICT, simulation and forecasting, in addition to key factors like quality and dynamic manufacturing strategies, and available markets with knowledge workers. For many factories it is complicated to approach the implementation of the concept without a detailed determination of the ability to apply the concept in company-specific conditions. Submitted article focuses on verification of innovative methodology to determine the company’s ability to implement the concept Factories of the Future. The methodology integrates basic manufacturing processes and key technological pillars.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An industry 4.0 perspective. International Journal Mechanical, Aerospace, Industrial and Mechatronics Engineering, 8(1), 37–44.
Gregor, M., & Magvaši, P. (2014). Globalizácia a megatrendy. ProIN, 4, 67–73.
European Commission. (2013). Factories of the future (1st ed.). Brussels: European Commission.
Associazione Cluster Fabbrica Intelligente. (2015). Fabrica intelligente (1st ed.). Bologna: Associazione Cluster Fabbrica Intelligente.
Tchoffa, D., Figay, N., Ghodous, P., Exposito, E., Kermad, L., Vosgien, T., & El Mhamedi, A. (2016). Digital factory system for dynamic manufacturing network supporting networked collaborative product development. Data & Knowledge Engineering, 105, 130–154.
Ferreira, J., Sarraipa, J., Ferro-Beca, M., Agostinho, C., Costa, R., & Jardim-Goncalves, R. (2017). End-to-end manufacturing in factories of the future. International Journal of Computer Integrated Manufacturing, 30(1), 121–133.
Terkaj, W., Tolio, T., & Urgo, M. (2015). A virtual factory approach for in situ simulation to support production and maintenance planning. CIRP Annals—Manufacturing Technology, 64(1), 451–454.
Kagermann, H. et al.(2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0. [online]. Frankfurt/Main: 2013, pp. (82). http://www.acatech.de/fileadmin/user_upload/Baumstruktur_nach_Website/Acatech/root/ de/Material_fuer_Sonderseiten/Industrie_4.0/Final_report__Industrie_4.0_accessible.pdf.
Cagáňová, D., Čambál, M., & Weidlichová Luptáková, S. (2010). Intercultural management—trend of contemporary globalized world. Electronics and electrical engineering, 6(102), 51–54.
Čambál, M., Cagáňová, D., & Šujanová, J. (2012). The industrial enterprise performance increase through the competency model application. In J. Surakka (Ed.), The 4th European Conferences on Intellectual Capital (Vol. 4). Helsinki: Academic Publishing International.
Chen, J., Wang, C. H., Zhao, Z. M., Chen, K., Du, R. Y., & Ahn, G. (2018). Uncovering the face of android ransomware: Characterization and real-time detection. IEEE Transactions on Information Forensics and Security, 13(5), 1286–1300.
Chen, M., Miao, Y., Hao, Y., & Hwang, K. (2017). Narrow band Internet of things. IEEE Access, 5, 20557–20577.
Chen, M., Hao, Y., Hu, L., Huang, K., & Lau, V. (2017). Green and mobility-aware caching in 5g networks. IEEE Transactions on Wireless Communications, 16(12), 8347–8361.
Zhang, L., Luo, Y., Tao, F., Li, B. H., Ren, L., Zhang, X., Guo, H., Cheng, Y., Hu, A., & Liu, Y. (2014). Cloud manufacturing: A new manufacturing paradigm. Enterprise Information Systems, 8, 2), 1–2),21.
Küsters, D., Praß, N., & Gloy, Y. (2017). Textile learning factory 4.0—Preparing Germany’s textile industry for the digital future. Procedia Manufacturing, 9, 214–221.
Balog, M. (2016). Development factors of cluster organizations in the Slovak Republic. Ekonomický časopis, 64(2), 149–168.
Vavrík, V., Gregor, M., & Grznár, P. (2017). Computer simulation as a tool for the optimization of logistics using automated guided vehicles. Procedia Engineering, 192, 923–928.
Bučková, M., Krajčovič, M., & Jerman, B. (2017). Impact of digital factory tools on designing of warehouses. Journal of Applied Engineering Science, 15(2), 173–180.
Bubeník, P., Horák, F., & Hančinský, V. (2015). Acquiring knowledge needed for pull production system design through data mining methods. Communications—Scientific letters of the University of Žilina, 17(3), 78–82.
Gregor, T., Krajčovič, M., & Wiecek, D. (2017). Smart connected logistics. Procedia Engineering, 192, 265–270.
Kramárová, M., Dulina, Ľ., & Čechová, I. (2017). Forklift workers strain of spine at industrial logistics in depending on human work posture. Procedia Engineering, 192, 207–212.
Gašová, M., Gašo, M., & Štefánik, A. (2017). Advanced industrial tools of ergonomics based on Industry 4.0 concept. Procedia Engineering, 192, 219–224.
Acknowledgment
This work was supported by the Slovak Research and Development Agency under the contract No. APVV-16-0488.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Hercko, J., Fusko, M., Slusna, L.K. (2020). Concept of the Factories of the Future in Slovak Industrial Companies. In: Cagáňová, D., Horňáková, N. (eds) Mobility Internet of Things 2018. Mobility IoT 2018. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-30911-4_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-30911-4_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30910-7
Online ISBN: 978-3-030-30911-4
eBook Packages: EngineeringEngineering (R0)