Integrated Production and Maintenance Planning for Cyber-physical Production Systems

Continuously rising production costs and efficiency requirements present challenges for manufacturing companies. One way of overcoming these challenges is to improve maintenance efficiency and effectiveness by developing and integrating predictive maintenance tools, and using this information for the targeted planning of maintenance measures. However, the integration of sensors into previously-installed manufacturing resources for predicting the necessary maintenance tasks is one of the main challenges facing manufacturing companies. Therefore, this paper presents an innovative methodology for predictive maintenance tools as intelligent cloud services and the industrial application of this methodology for an integrated production and maintenance planning.