Abstract

High-value, complex products such as aircraft are not produced by a single organization at a single production plant. Rather, a network of highly specialized suppliers collaborates with often geographically distributed OEM production plants focused on specific parts of the product. This means that a suitable predictive maintenance strategy needs to take into account not only multiple stakeholders and locations in the production processes itself, but also the production logistics processes and their stakeholders. This paper investigates a use case in the maintenance of assets ("jigs") for the transport of wing covers produced by a transnational aeronautics OEM. Based on the analysis of the application case, it derives the requirements towards a predictive maintenance system and projects them onto current state of the art standards like MIMOSA OSA-CBM and RAMI4.0. From this a unified predictive maintenance system for the optimization of jig maintenance procedures is proposed and initial results in the form of the application of a conceptual architecture to the problems identified in the use case are presented.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call