Suchergebnisse

Predictive maintenance has the potential to improve the reliability of production and service provisioning. However, there is little knowledge about the proper implementation of predictive maintenance in research and practice. Therefore, we conducted a multi-case study and investigated underlying conditions and technological aspects for implementing a predictive maintenance system and where it leads to. We found that predictive maintenance initiatives are triggered by severe impacts of failures on revenue and profit. Furthermore, successful predictive maintenance initiatives require that pre-conditions are fulfilled: Data must be available and accessible. Very important is also the support by the management. We identified four factors important for the implementation of predictive maintenance. The integration of data is highly facilitated by Cloud-based mechanisms. The detection of events is enabled by advanced analytics. The execution of predictive maintenance operations is supported by data-driven process automation and visualization.

Since Summer 1995, a pilot project on patient's card is running in Neuwied/ Germany (Pilot Project Patient's Card Koblenz/ Neuwied). From February till March 1997 we carried out a telephone survey among local patients groups in Koblenz and Neuwied. The main aim of the survey was to find out, what do the patients groups know regarding the patient's card in general and regarding the local pilot project - and what is their attitude towards it. The results of our survey should be of interest for the introduction of patient-related card systems, because serious deficits in the information policy of the project initiators became evident.