Acta Mechanica Slovaca 2025, 29(2):20-25 | DOI: 10.21496/ams.2025.014
EHS Data Integration into Production Monitoring Tools
- Institute of Industrial Engineering, Management and Applied Mathematics, Faculty of Mechanical Engineering, Technical University of Košice, Park Komenského 5, 040 02 Košice, Slovakia
With the rapid advancement of digitalization, data modeling and management have become increasingly significant. This study explores the digitization of diverse data types and their interconnection within a real-world automotive manufacturing environment. The proposed framework integrates two independent online applications: one responsible for collecting and processing production data and the other designed to assess ergonomic conditions at workstations. The study examines the feasibility of linking these systems, enabling continuous monitoring of operator workload. This integration aims to mitigate occupational health risks and evaluate how ergonomic inefficiencies at workstations can influence product quality. The findings highlight the potential for proactive intervention in production processes by leveraging digital tools to enhance workplace ergonomics and manufacturing efficiency.
Keywords: data digitization; production data; digitization, workstation ergonomics, ergonomics evaluation.
Received: April 22, 2025; Revised: June 18, 2025; Accepted: June 26, 2025; Published: June 10, 2025 Show citation
References
- . Beck, R., Avital, M., Rossi, M., Thatcher, J.B., 2017: Blockchain technology in business and information systems research. Business & Information Systems Engineering. 59(6): 381-384.
Go to original source...
- . Chen, H., Chiang, R.H., Storey, V.C., 2012: Business intelligence and analytics: from big data to big impact. MIS Q. 36(4): 1165 -1188.
Go to original source...
- . Chen, P.P.S. (1976). The entity-relationship model - toward a unified view of data. ACM Trans. Database Syst. 1(1): 9-36.
Go to original source...
- . Embley, D.W., Liddle, S.W., 2013: Big data - conceptual modeling to the rescue. In: Conceptual modeling, ER 2013, Ng, W., Storey, V.C., Trujillo, J.C. (eds.) ER 2013. Springer, LNCS, Heidelberg; 8217: 1-8.
Go to original source...
- . Batini, C., Scannapieca, M. 2006: Data Quality: Concepts, Methodologies, and Techniques. Berlin, Heidelberg. Springer-Verlag, Berlin Heidelberg.
- . Mosley, M., Brackett, M.H., Earley, S., Henderson, D., 2009: DAMA guide to the data. Management body of knowledge. Technics Publications, LLC.
- . Olson, J., 2008: Data Quality. Amsterdam: Morgan Kaufmann.
- . Cichy, C., Rass, S., 2019: An Overview of Data Quality Frameworks. IEEE Access 7, 24634-24648. https://doi-org.e.bibl.liu.se/10.1109/ACCESS.2019.2899751.
Go to original source...
- . Ramasamy, A., Chowdhury, S., 2020: Big data quality dimensions: a systematic literature review. Journal of Information Systems and Technology Management. 17, https://doi.org/10.4301/S1807-1775202017003.
Go to original source...
- . Storey, V.C., Woo, C., 2018: Data challenges in the digitalization era. In: Proceedings of the 28th Workshop on Information Technologies and Systems, Santa Clara, California.
- . Lindström, V., Persson, F., Viswanathan, A. P. C., Rajendran, M., 2023: Data quality issues in production planning and control - Linkages to smart PPC. Computers in Industry, 147: 103871.
Go to original source...
- . Jeske, B.T., Terstegen, S., Stahn, C., 2021: Opportunities of Digitalization and Artificial Intelligence for Occupational Safety and Health in Production Industry. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body, Motion and Behavior: 12th International Conference, DHM 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24-29, 2021, Proceedings, Part I, 43 - 57. https://doi.org/10.1007/978-3-030-77817-0_4.
Go to original source...
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