Acta Mechanica Slovaca 2019, 23(1):22-29 | DOI: 10.21496/ams.2019.004

Digital Literacy of Employees in Production Process - Analyse of Production Stability and Productivity in INDUSTRY 4.0 Concept

Felicita Chromjakova1
1 Department of Industrial Engineering and Information Systems, Faculty of Management and Economics, Tomas Bata University in Zlin, Czech Republic

Important part of the higher productivity and effectiveness in today's industrial enterprises confronted with growing automation and digitization of production processes is strong connected with the ability of employees to be prepare communicate with newest digitized production technologies. Skills and abilities of employees influence radical the productivity, performance, value added of production flows. Presented paper analyse important parameters of digital literacy of employees in production processes and confronts the results with the core requirements on continuously process performance and improvement. Results achieved by presented analyse are useful for development of digitized process management schemas, prediction of effective value stream in production process.

Published: March 29, 2019  Show citation

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Chromjakova, F. (2019). Digital Literacy of Employees in Production Process - Analyse of Production Stability and Productivity in INDUSTRY 4.0 Concept. Acta Mechanica Slovaca23(1), 22-29. doi: 10.21496/ams.2019.004
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References

  1. Atan,Z., Ahmadi,T., Stegehuis,C., Kok,T., Adan,I.: Assemble-to-order systems. A review. European Journal of Operational Research, Volume 261, Issue 3, pp. 866-879, 2017, ISSN 0377-2217 Go to original source...
  2. Caggiano,A., Teti,R.: Digital factory technologies for robotic automation and enhanced manufacturing cell design. Cogent Engineering, Volume 5, Issue 1, 2018, ISSN 2331-1916 Go to original source...
  3. He,Y., Han,X., Gu,C., Chen,Z.: Cost-oriented predictive maintenance based on mission reliability state for cyber manufacturing systems. Advances in Mechanical Engineering, Volume 10, Issue 1, 2018, ISSN 1687-8140 Go to original source...
  4. Hirsch-Kreinsen,H.: Wandel von Produktionsarbeit - Industrie 4.0. Soziologisches Arbeitspapier Nr. 38/2014, Technische Universität Dortmund, ISSN 1612-5355 Go to original source...
  5. Hou,L, Zhao,S.H., Li,X., Chatzimisios,P., Zheng,K.: Design and implementation of application programming interface for Internet of things cloud. International Journal of Network Management, Volume 27, Issue 3, 2017, ISSN 1055-7148 Go to original source...
  6. Chromjakova,F.: Production Process Stability - Core Assumption of Industry 4.0 concept. 5th International Conference on Manufacturing, Optimization, Industrial and Material Engineering, Book Series: IOP Conference Series-MaterialScience and Engineering, Volume 215, UNSP 012024, 2017 Go to original source...
  7. Tang,D., Zheng,K., Zhang,H., Zhang,Z., Sang,Z., Zhang,T., Esponosa-Oviedo,J., Vargas-Solar,G.: Using autonomous intelligence to build a smart shop floor. International Journal of Advanced Manufacturing Technology. Volume 94, Issue 5-8, pp. 1597-1606, 2018, ISSN 0268-3768 Go to original source...
  8. Trentesaux,D.: Distributed control of production systems. Engineering Applications of Artificial Intelligence, Volume 22, Issue 7, pp. 971-978, 2009, ISSN 0952-1976 Go to original source...

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