Analytical Tools in an Industrial Enterprise

• Autorzy: Zajačko Ivan , Prajová Vanessa

Identyfikatory

DOI

10.2478/mape-2020-0030

• Języki publikacji: EN

Abstrakty

EN

Manufacturing companies operate on data from production, operation and trade. The strategy of creating and collecting data at the centre of production processes has significantly improved in recent years. Manufacturers are now collecting and storing vast amounts of data from their manufacturing facilities, both online and offline, from multiple geographic locations and with a growing number of separate data repositories. The design of workplaces and products continues to migrate from paper to the computer, where analysis accuracy, visualization, and collaboration utilities allow designs to be realized much faster and better than ever before. As the pace of this development accelerates with the increased capabilities of the software design tools, less time is spent on physical prototyping, allowing for shortened time-to-market for new products. Ergonomists, who in the past used the physical prototypes to perform human factors analyses, are now challenged to move the analysis into the virtual domain using new tools and methods. Usability, maintainability, physical ergonomic assessments, psychological perception, and procedural training are some of the human factors issues that might benefit from analysis prior to the first physical incarnation of the design.

Słowa kluczowe

EN

analytic tools; ergonomic; digital factory

• Wydawca: STE GROUP ; De Gruyter
• Czasopismo: Multidisciplinary Aspects of Production Engineering
• Rocznik: 2020
• Tom: Vol. 3, Iss. 1
• Strony: 347--358
• Opis fizyczny: Bibliogr. 17 poz., fig.

Twórcy

autor

Zajačko Ivan

• University of Žilina, Slovak Republic

autor

Prajová Vanessa

• Slovak University of Technology in Bratislava, Slovak Republic

Bibliografia

• 1. Beňo, R. and Jakábová, M., (2014). Use of the concept of “Digital Enterprise” in the field of ergonomics in the context of sustainable work performance of employees. Výkonnosť podniku, 4(1), pp. 6-21. ISSN 1338-435X.
• 2. Bozek, P. and Chmelíková, G., (2011). Virtual Technology Utilization in Teaching. In ICL 201, 14th International Conference on Interactive Collaborative Learning and 11th International Conference Virtual University. Piešťany, Slovakia, Piscataway: IEEE, pp. 409-413.
• 3. Furmann, R., (2010). Digital enterprise - an innovative solution for you. Produktivita a inovácie, 11(2), pp. 3-5. ISSN 1335-5961.
• 4. Gao (2007), ‘‘Worker Protection: Private Sector Ergonomics Programs Yield Positive Results’’, GAO/HEHS-97-163, U.S. General Accounting Office, Washington, DC.
• 5. Genaidy, A., Karwowski, W., and Christensen, D., (1999), ‘‘Principles of Work System Performance Optimization: A Business Ergonomics Approach,’’ Human Factors and Ergonomics in Manufacturing, Vol. 9, No. 1, pp. 105-128.
• 6. Gregor, M. and Medvecký, S., (2010). Digital factory – theory and practice. In: Engineering the Future. InTech, pp. 355-376. ISBN: 978-953-307-210-4.
• 7. Karwowski, W., and Salvendy, G., Eds., (2001), Design of Work and Organization, John Wiley & Sons, New York.
• 8. Kuehn, W., (2000). Digital factory – Integration of simulation enhancing the product and production process towards operative control and optimisation. International Journal of Simulation: Systems, Science & Technology, 7(7), pp. 27-39. ISSN 1473-8031.
• 9. Mingaleva, Z., Zhulanov, E., Shaidurova, N. and Vukovic, N., (2019). Economic Transformation of a Mining Territory Based on the Application of a Cluster Approach. Acta Montanistica Slovaca, Volume: 24, Issue: 3, pp. 257-268.
• 10. Naumann, A. and Roerring, M., (2007). Digital human modeling for design and evaluation of human - machine systems. MMI Interaktiv, 1(12), pp. 27-35. ISSN 1439-7854.
• 11. Petráš, R., (2015). Optimization of manual handling of loads by using the selected methods for the assessment of physical load in the selected workplace in the company VOLKSWAGEN SLOVAKIA, a.s. [Graduate Thesis] - Slovak University of Technology in Bratislava. Faculty of Materials Science and Technology in Trnava; Institute of Industrial Engineering and Management.
• 12. Straka, M., Rosová, A., Lenort, R., Besta, P., Šaderová, J., (2018). Principles of computer simulation design for the needs of improvement of the raw materials combined transport system, Acta Montanistica Slovaca Volume 23(2018), number 2, pp. 163-174.
• 13. Supsomboon, S., (2019). Simulation for jewelry production process improvement using line balancing: a case study, Management Systems in Production Engineering 2019, Volume 27, Issue 3, pp. 127-137, DOI 10.1515/mspe-2019-0021.
• 14. Šišan, D. and Majdan, M., (2011). The concept of the digital enterprise - as a tool for improving production processes. In: Modelování, simulace a optimalizace podnikových procesů v praxi. Praha: ČSOP, pp. 442-449. ISBN 978-80-260-0023-5.
• 15. Tabaková, M., Hulín, M., Štefánik A., (2008). Healthy workplaces with the support of a digital enterprise. Produktivita a inovácie, 9(6), pp. 4-6. ISSN 1335-5961.
• 16. PLM.AUTOMATION.SIEMENS, (2015). Jack a Process Simulate Human. [online]. http://www.plm.automation.siemens.com/cz_cz/products/tecnomatix/assembly_planning/jack/index.shtml.
• 17. www.geoplm.com/knowledge-base-resources/GEOPLM-Siemens-PLM-Tecnomatix-Jack-Task-Analysis-Toolkit.pdf.

Uwagi

EN

This publication has been written thanks to support of the research project VEGA 1/0019/20 and project KEGA 013TUKE-4/2019.