STUDY OF THE DIGITIZATION LEVEL OF MANUFACTURING COMPANIES
DOI:
https://doi.org/10.12955/pns.v2.149Keywords:
digitalization, digital factory, virtual factory, smart factory, technologies, digitalization level, support toolsAbstract
Today, advances in ICT are exponential in nature, and many technologies are now being added from which businesses can benefit from their application in their processes. Digitization is a wide area that already finds active application in businesses processes. It helps create new possibilities in terms of improving process performance, responding more quickly to changes, or helping to reduce costs for different production areas. In general, digitization in an enterprise can be understood as having specific financial as well as personnel requirements. There are few levels of digitalization that we can achieve (document digitalization, digital factory, virtual factory, and smart factory). The research goal of the article is a detailed description and comparison of the individual digitization levels and their tools. The article contains two case studies in which the analysis of processes in the form of questionnaires defines the appropriateness of the level of digitization. Also, based on the analysis, it is possible to say each of the levels of digitization has a particular area of application depending on the nature of production. The main findings of the case studies are that irrelevant digitization is costly and personally demanding without achieving more significant results without analysis. Companies' more efficient operation can be achieved even if the company does not use the latest technological advances and what simple changes need to be incorporated.
References
Calabrese, A., Dora, M., Ghiron, N. L., & Tiburzi, L. (2019). Industry's 4.0 transformation process: How to start, where to aim, what to be aware of. Production Planning & Control. https://doi.org/10.1080/09537287.2020.1830315.
De Carolis, A., Macchi, M., Negri, E., & Terzi, S. (2017). Guiding Manufacturing Companies Towards Digitalization A methodology for supporting manufacturing companies in defining their digitalisation roadmap. https://doi.org/10.1109/ICE.2017.8279925.
Dewa, M. T., van der Merwe, F., & Matope, S. (2018). A Decision-Making Framework for Implementing Digitalisation in the South African Tooling Industry. South African Journal of Industrial Engineering, 29(4), 245–262. https://doi.org/10.7166/29-4-1903.
Fusko, M., Buckova, M., Gaso, M., Krajcovic, M., Dulina, L., & Skokan, R. (2019). Concept of Long-Term Sustainable Intralogistics in Plastic Recycling Factory. Sustainability, 11(23), 6750. https://doi.org/10.3390/su11236750.
Gregor, M., Hodon, R., Binasova, V., Dulina, L., & Gaso, M. (2018). Designof Simulation-Emulation Logistics System. Mm Science Journal, 2018, 2498–2502. https://doi.org/10.17973/MMSJ.2018_10_201878.
Grijalvo Martin, M., Pacios Alvarez, A., Ordieres-Mere, J., Villalba-Diez, J., & Morales-Alonso, G. (2021). New Business Models from Prescriptive Maintenance Strategies Aligned with Sustainable Development Goals. Sustainability, 13(1), 216. https://doi.org/10.3390/su13010216.
Kliment, M., Trebuna, P., Pekarcikova, M., Straka, M., Trojan, J., & Duda, R. (2020). Production Efficiency Evaluation and Products' Quality Improvement Using Simulation. International Journal of Simulation Modelling, 19(3), 470–481. https://doi.org/10.2507/IJSIMM19-3-528.
Krkoska, L., Gregor, M., & Matuszek, J. (2017). Simulation of human effect to the Adaptive Logistics System used in public facilities. V J. Bujnak & M. Guagliano (Ed.), 12th International Scientific Conference of Young Scientists on Sustainable, Modern and Safe Transport (Roč. 192, s. 492–497). Elsevier Science Bv. https://doi.org/10.1016/j.proeng.2017.06.085.
Loske, D., & Klumpp, M. (2019). Verifying the effects of digitalisation in retail logistics: An efficiency-centred approach. International Journal of Logistics-Research and Applications. https://doi.org/10.1080/13675567.2020.1815681.
Micieta, B., Binasova, V., Kasajova, M., & Gabajova, G. (2020). Using activating teaching methods for impruving students motivation. EDULEARN20 Proceedings, 8653–8659.
Micieta, B., Binasova, V., Lieskovsky, R., Krajcovic, M., & Dulina, L. (2019). Product Segmentation and Sustainability in Customized Assembly with Respect to the Basic Elements of Industry 4.0. Sustainability, 11(21), 6057. https://doi.org/10.3390/su11216057.
Mikusova, M., Abdunazarov, J., Zukowska, J., & Jagelcak, J. (2020). Designing of Parking Spaces on Parking Taking into Account the Parameters of Design Vehicles. Computation, 8(3), 71. https://doi.org/10.3390/computation8030071.
Mocilan, M., Zmindak, M., Pechac, P., & Weis, P. (2017). CFD simulation of hydraulic tank. V J. Bujnak & M. Guagliano (Ed.), 12th International Scientific Conference of Young Scientists on Sustainable, Modern and Safe Transport (Roč. 192, s. 609–614). Elsevier Science Bv. https://doi.org/10.1016/j.proeng.2017.06.105.
Ojstersek, R., Buchmeister, B., & Herzog, N. V. (2020). Use of Data-Driven Simulation Modeling and Visual Computing Methods for Workplace Evaluation. Applied Sciences-Basel, 10(20), 7037. https://doi.org/10.3390/app10207037.
Pedan, M., Gregor, M., & Plinta, D. (2017). Implementation of Automated Guided Vehicle system in healthcare facility. V J. Bujnak & M. Guagliano (Ed.), 12th International Scientific Conference of Young Scientists on Sustainable, Modern and Safe Transport (Roč. 192, s. 665–670). Elsevier Science Bv. https://doi.org/10.1016/j.proeng.2017.06.115.
Ristvej, J., Lacinak, M., & Ondrejka, R. (2020). On Smart City and Safe City Concepts. Mobile Networks & Applications, 25(3), 836–845. https://doi.org/10.1007/s11036-020-01524-4.
Vogt, J. (2020). Where is the human got to go? Artificial intelligence, machine learning, big data, digitalisation, and human-robot interaction in Industry 4.0 and 5.0 Review Comment on: Bauer, M. (2020). Preise kalkulieren mit KI-gestutzter Onlineplattform BAM GmbH, Weiden, Bavaria, Germany. Ai & Society. https://doi.org/10.1007/s00146-020-01123-7.
Worobel, R., Čapek, J., Kováčová, L., Bubeník, P., & Krajčovič, M. (2017). Improving business processes using simulation tools. MM Science Journal, 2018. https://doi.org/10.17973/MMSJ.2018_03_2017103.
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