Have a personal or library account? Click to login
The Predictive Maintenance Concept in the Maintenance Department of the “Industry 4.0” Production Enterprise Cover

The Predictive Maintenance Concept in the Maintenance Department of the “Industry 4.0” Production Enterprise

Open Access
|Dec 2018

References

  1. [1] Blechschmidt, N., 2011. Die Instandhaltungsstudie - Wertorientierte Instandhaltung. ConMoto.
  2. [2] Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M., 2014. How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective. International Journal of Mechanical, Industrial Science and Engineering, 8(1), pp.37-44.
  3. [3] Cotteleer, M., Sniderman, B., 2017. Forces of Change: Industry 4.0, [online] Available at: https://www2.deloitte.com/insights/us/en/focus/industry-4-0/overview.html [Accessed 15 No-vember 2018].
  4. [4] Dougherty, P., Banerjee, P., Negm, W., Alter, A.E., 2015. Driving Unconventional Growth Through the Industrial Internet of Things. Accenture.
  5. [5] Davenport, T., 1993. Process Innovation: Reengineering Work Through Information Technology. Boston: Harvard Business School Press.
  6. [6] DIN 31051: 2012-09. DIN Deutsches Institut für Normung, 2012. Fundamentals of Maintenance.
  7. [7] DIN EN 13306: 2015-09. DIN Deutsches Institut für Normung, 2015. Maintenance terminology.
  8. [8] Endrenyi, J., Aboresheid, S., Allan, R.N., An-ders, G.J., Asgarpoor, S., Billinton, R., Singh, C., 2001. The Present Status of Maintenance Strategies and the Impact of Maintenance on Re-liability. IEEE Transactions on Power Systems, 16(4), pp.638-646.10.1109/59.962408
  9. [9] Gruszka, J., Misztal, A., 2017. Zarządzanie jakością w motoryzacji według standardu IATF 16949:2016 w ujęciu procesowym (Quality Management in Automotive Industry Based on IATF 16949:2016 - Process Approach). Problemy Jakości (49), No. 11.10.15199/48.2017.11.1
  10. [10] Haider, A., Koronios, A., 2006. E-Prognostics: A Step Towards E-Maintenance of Engineering Assets. Journal of Theoretical and Applied Electronic Commerce Research, 1(1), pp.42-55.10.3390/jtaer1010005
  11. [11] Henke, M., Kuhn, A., 2015. Smart Factories for Smart Factories - Mit intelligenter Instandhaltung die Industrie 4.0 vorantreiben. Red Paper - Acatech POSITION.
  12. [12] Kopetz, H., 2011. Internet of Things. In Real-time Systems. Springer, Boston, MA.10.1007/978-1-4419-8237-7
  13. [13] Lasi H., Kemper H.G., Fettke P., Feld T., Hoffmann M., 2014. Industry 4.0. Business & Information Systems Engineering. Springer.10.1007/s12599-014-0334-4
  14. [14] Lee, G.M., Crespi, N., Choi, J.K., Boussard, M., 2013. Internet of Things. In Evolution of Telecommunication Services. Springer, Berlin, Heidelberg.10.1007/978-3-642-41569-2_13
  15. [15] Misztal, A. Gruszka, J., 2017. The New IATF 16949: 2016 Standard in the Automotive Supply Chain. Research in Logistics & Production, 7.10.21008/j.2083-4950.2017.7.4.3
  16. [16] Peng, Y., Dong, M., Zuo, M.J., 2010. Current Status of Machine Prognostics in Condition-Based Maintenance: A review. International Journal of Advanced Manufacturing Technology, 50(4), pp.297-313.10.1007/s00170-009-2482-0
  17. [17] Schenk, M., 2013. Instandhaltung technischer Systeme. Heidelberg: Springer.
  18. [18] Schwabacher, M., Goebel, K., 2007. A Survey of Artificial Intelligence for Prognostics. AAAI Fall Symposium - Technical Report., pp.107-114.
  19. [19] Shin, J.-H., Jun, H.-B, 2015. On Condition-based Maintenance Policy. Journal of Computa-tional Design and Engineering, 2, pp.119-127.10.1016/j.jcde.2014.12.006
  20. [20] Shrouf, F., Ordieres, J., Miragliotta, G., 2014. Smart Factories in Industry 4.0: A Review of the Concept and of Energy Management Approached in Production Based on the Internet of Things Paradigm. Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on (pp. 697-701). IEEE.10.1109/IEEM.2014.7058728
  21. [21] Strunz, M. (2012). Instandhaltung: Grundlagen - Strategien - Werkstätten. Berlin: Springer Vieweg.10.1007/978-3-642-27390-2
  22. [22] Sullivan, G.P., Pugh, R., Melendez, A.P., Hunt, W.D., 2010. Operations & Maintenance Best Practices. U. S. Departament of Energy, Federal Energy Management Program.
  23. [23] Susto, G.A., Schirru, A., Pampuri, S., McLoone, S., Beghi, A., 2015. Machine Learning for Pre-dictive Maintenance: A Multiple Classifier Approach. IEEE Transactions on Industrial Infor-Informatics, 11(3), pp.812-820.10.1109/TII.2014.2349359
  24. [24] Thomson, R., Edwards, M., Britton, E., 2014. Predictive Maintenance. Roland Beger.
  25. [25] Weber, R.H., Weber, R., 2010. Internet of Things. Heidelberg: Springer.10.1007/978-3-642-11710-7
  26. [26] Weyer, S., Schmitt, M., Ohmer, M., Gorecky, D., 2015. Towards Industry 4.0-Standardization as the Crucial Challenge for Highly Modular, Multi-Vendor Production Systems. Ifac-Papersonline, 48(3), pp.579-584.10.1016/j.ifacol.2015.06.143
  27. [27] Wittbrodt P., Łapuńka I., 2017. Industry 4.0 - The Challenge for Today's Manufacturing Companies. Conference - Innovation in Management and Production Engineering. PTZP.
  28. [28] Wu, D., Rosen, D.W., Wang, L., Schaefer, D., 2015. Cloud-based Design and Manufacturing: A new Paradigm in Digital Manufacturing and Design Innovation. Computer-Aided Design, 59, pp.1-14.10.1016/j.cad.2014.07.006
DOI: https://doi.org/10.2478/fman-2018-0022 | Journal eISSN: 2300-5661 | Journal ISSN: 2080-7279
Language: English
Page range: 283 - 292
Published on: Dec 31, 2018
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Duc Tran Anh, Karol Dąbrowski, Katarzyna Skrzypek, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.