PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2018 | 10 | nr 1 | 283--292
Tytuł artykułu

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

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Modern technical environments require a high degree of reliability both in machinery and in equipment. Technological progress has, on the one hand, increased this efficiency but on the other hand, it has changed the way in which this equipment and these machines have traditionally been maintained. The authors have set the following assumptions. In order to survive in the market and develop, modern production enterprises realize the assumptions of Industry 4.0, wherein the optimization of maintenance processes is important because of the financial situation. This includes the profits made by the production company and differs from traditional maintenance, by shifting towards new trends such as predictive maintenance; as such, it is crucial for the development of the company. The article is devoted to the most modern predictive maintenance strategy, in the maintenance department of a manufacturing company. The publication describes the meaning of the method, its potential and the theory of action. (original abstract)
Rocznik
Tom
10
Numer
Strony
283--292
Opis fizyczny
Twórcy
autor
  • Brandenburg University of Technology Cottbus-Senftenberg, Germany
  • University of Zielona Góra
  • University of Zielona Góra
Bibliografia
  • Blechschmidt, N., 2011. Die Instandhaltungsstudie - Wertorientierte Instandhaltung. ConMoto.
  • Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M., 2014. How Virtualization, Decen-tralization 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.
  • 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 November 2018].
  • Dougherty, P., Banerjee, P., Negm, W., Alter, A.E., 2015. Driving Unconventional Growth Through the Industrial Internet of Things. Accenture.
  • Davenport, T., 1993. Process Innovation: Reengineering Work Through Information Technolo-gy. Boston: Harvard Business School Press.
  • DIN 31051: 2012-09. DIN Deutsches Institut für Normung, 2012. Fundamentals of Maintenance.
  • DIN EN 13306: 2015-09. DIN Deutsches Institut für Normung, 2015. Maintenance terminology.
  • Endrenyi, J., Aboresheid, S., Allan, R.N., Anders, G.J., Asgarpoor, S., Billinton, R., Singh, C., 2001. The Present Status of Maintenance Strategies and the Impact of Maintenance on Reliability. IEEE Transactions on Power Systems, 16(4), pp.638-646.
  • Gruszka, J., Misztal, A., 2017. Zarządzanie jako-ścią 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.
  • 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.
  • Henke, M., Kuhn, A., 2015. Smart Factories for Smart Factories - Mit intelligenter In-standhaltung die Industrie 4.0 vorantreiben. Red Paper - Acatech POSITION.
  • Kopetz, H., 2011. Internet of Things. In Real-time Systems. Springer, Boston, MA.
  • Lasi H., Kemper H.G., Fettke P., Feld T., Hoffmann M., 2014. Industry 4.0. Business & Information Systems Engineering. Springer.
  • Lee, G.M., Crespi, N., Choi, J.K., Boussard, M., 2013. Internet of Things. In Evolution of Telecommunication Services. Springer, Berlin, Heidelberg.
  • Misztal, A. Gruszka, J., 2017. The New IATF 16949: 2016 Standard in the Automotive Supply Chain. Research in Logistics & Production, 7.
  • 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.
  • Schenk, M., 2013. Instandhaltung technischer Systeme. Heidelberg: Springer.
  • Schwabacher, M., Goebel, K., 2007. A Survey of Artificial Intelligence for Prognostics. AAAI Fall Symposium - Technical Report., pp.107-114.
  • Shin, J.-H., Jun, H.-B, 2015. On Condition-based Maintenance Policy. Journal of Computational Design and Engineering, 2, pp.119-127.
  • 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.
  • Strunz, M. (2012). Instandhaltung: Grundlagen - Strategien - Werkstätten. Berlin: Springer Vieweg.
  • 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.
  • Susto, G.A., Schirru, A., Pampuri, S., McLoone, S., Beghi, A., 2015. Machine Learning for Predictive Maintenance: A Multiple Classifier Approach. IEEE Transactions on Industrial Infor-Informatics, 11(3), pp.812-820.
  • Thomson, R., Edwards, M., Britton, E., 2014. Predictive Maintenance. Roland Beger.
  • Weber, R.H., Weber, R., 2010. Internet of Things. Heidelberg: Springer.
  • 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. IfacPapersonline, 48(3), pp.579-584.
  • Wittbrodt P., Łapuńka I., 2017. Industry 4.0 - The Challenge for Today's Manufacturing Companies. Conference - Innovation in Management and Production Engineering. PTZP.
  • 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
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171540101

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.