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Timofiejczuk Anna (Silesian University of Technology, Poland), Brodny Jarosław (Silesian University of Technology, Poland), Loska Andrzej (Silesian University of Technology, Poland)
Exploitation Policy in the Aspect of Industry 4.0 Concept - Overview of Selected Research
Multidisciplinary Aspects of Production Engineering, 2018, vol. 1, s. 353-359, rys., tab., bibliogr. 17 poz.
Słowa kluczowe
Przemysł 4.0, Eksploatacja, Nowe technologie, Metody taksonomiczne
Industry 4.0, Exploitation, High-tech, Taxonomic methods
streszcz., summ.
The article is a review of completed research on developed and implemented innovative and technologically advanced technical systems. According to the Industry 4.0 concept they can have a significant impact on the efficiency of production processes and product development. In this perspective, the key aspect seems to be maintenance management of technical systems, realized both in the operate phase as well as during service and repair works. There were discussed research results of authors and developed application solutions supporting decision-making processes, in terms of three main periods of realization of exploitation processes: short, medium and long-term. (original abstract)
Pełny tekst
  1. Antosz, K. (2018). Maintenance - identification and analysis of the competency gap. Eksploatacja I niezawodnosc - Maintenance and Reliability 20 (3), pp. 484-494.
  2. Brodny, J. and Tutak, M. (2018). Use of IT platform in determination of efficiency of mining machines. E3S Web Conferences Volume 29, pp. E3S Web of Conferences eISSN: 2267-1242. Copyright/Published by: EDP Sciences;
  3. Burduk, A. (2013). Artificial Neural Networks as Tools for Controlling Production Systems and Ensuring Their Stability. Computer Information Systems And Industrial Management, Lecture Notes in Computer Science, Volume 8104, pp. 487-498.
  4. Hermann, M., Pentek, T. and Otto, B. (2016). Design principles for Industrie 4.0 scenarios, Proceedings of the 49th Annual Hawaii International Conference on System Sciences, pp. 3928-3937.
  5. Jasiulewicz-Kaczmarek, M., Wyczolkowski, R. and Gladysiak, V. (2017). Modeling a hierarchical structure of factors influencing exploitation policy for water distribution systems using ISM approach. IOP Conference Series-Materials Science and Engineering, Volume 282, Article Number: UNSP 012014.
  6. Kagermann, H., Wahlster, W. and Helbig, J. (2014). Recommendations for implementing the strategic initiative Industrie 4.0: Final report of the Industrie 4.0 Working Group. National Academy of Science and Engineering, Berlin.
  7. Karwot, J., Kaźmierczak, J., Wyczółkowski, R., Paszkowski, W. and Przystałka, P. (2016). Smart Water in Smart City: A Case Study. Proceedings of SGEM 16th International Scientific Conference on EARTH&GEOSCIENCES, Book 3, Vol. I, pp. 851-858.
  8. Kosick, E., Kozlowski, E. and Mazurkiewicz, D. (2018). Intelligent Systems of Forecasting the Failure of Machinery Park and Supporting Fulfilment of Orders of Spare Parts. Advances in Intelligent Systems and Computing, Springer, Cham, Vol. 637, pp. 64-73.
  9. Loska, A. (2017). Scenario modeling exploitation decision-making process in technical network systems. Eksploatacja i Niezawodnosc - Maintenance and Reliability, 19(2), pp. 268-278.
  10. Loska, A. and Paszkowski, W. (2018). SmartMaintenance - The Concept of Supporting the Exploitation Decision-Making Process in the Selected Technical Network System. Advances in Intelligent Systems and Computing, Springer, Cham, Vol. 637, pp. 54-63.
  11. Przystalka, P., Moczulski, W., Timofiejczuk, A., Kalisch, M. and Sikora, M. (2014). Development of Expert System Shell for Coal Mining Industry. Advances In Condition Monitoring Of Machinery In Non-Stationary Operations. Applied Condition Monitoring, Volume 4, pp. 335-348.
  12. Stecuła, K., Brodny, J. and Tutak, M. (2018). Use of intelligent informatics module for registration and assessment of causes of breaks in selected mining machines. Poland Springer International Publishing AG, A. Burduk and D. Mazurkiewicz (eds.), Intelligent Systems in Production Engineering and Maintenance ISPEM 2017, Advances in Intelligent Systems and Computing 637, pp.74-84. DOI 10.1007/978-3-319-64465-3_8
  13. Stecuła, K., Tutak, M. and Brodny, J. (2017a) Application of chosen elements from japanese production and maintenance management philosophies in polish coal mines. 17th International Multidisciplinary Scientific Geoconference SGEM 2017. Vol. 17, issue 13. Albena, Bulgaria 2017. pp. 93-100. DOI:
  14. Stecuła, K., Brodny, J. and Tutak, M. (2017b). Informatics platform as a tool supporting research regarding the effectiveness of the mining machines' work. CBU International Conference Proceedings 2017: Innovations in Science and Education, Vol. 5, Prague 2017, p. 1215-1219. DOI 10.12955/cbup.v5.1099.
  15. Szczesniak, B., Midor, K. and Zasadzien, M. (2017). A Concept of an IT Tool for Supporting Knowledge Transfer Among Facility Maintenance Employees as Part of Intelligent Organization. Advances in Intelligent Systems and Computing, Springer, Cham, Vol. 637, pp. 3-12.
  16. Timofiejczuk, A. (2013). Context based diagnostics of rotating machinery. Surveillance 7. International conference, Chartres, France, October 29-30, 2013. Chartres: Institute of Technology, pp. 1-9.
  17. Wachla, D., Przystałka, P., Kalisch, M., Moczulski, W. and Timofiejczuk, A. (2016). Development of expert system shell with context-based reasoning. Advances in Intelligent Systems and Computing, Volume 386, pp. 369-382.
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