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

Author

Listed:
  • Tran Anh Duc

    (Brandenburg University of Technology Cottbus - Senftenberg, Faculty of Mechanical Engineering, Electrical and Energy Systems, Chair of Industrial Information Systems,Cottbus, Germany)

  • Dąbrowski Karol

    (University of Zielona Góra, Faculty of Mechanical Engineering, Institute of Computer Science and Production Management,Zielona Góra, Poland)

  • Skrzypek Katarzyna

    (University of Zielona Góra, Faculty of Mechanical Engineering, Institute of Computer Science and Production Management,Zielona Góra, Poland)

Abstract

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.

Suggested Citation

  • Tran Anh Duc & Dąbrowski Karol & Skrzypek Katarzyna, 2018. "The Predictive Maintenance Concept in the Maintenance Department of the “Industry 4.0” Production Enterprise," Foundations of Management, Sciendo, vol. 10(1), pages 283-292, December.
    • Handle: RePEc:vrs:founma:v:10:y:2018:i:1:p:283-292:n:21
    DOI: 10.2478/fman-2018-0022
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