Conference paper Open Access

Cross-Factory Information Exchange for Cloud-Based Monitoring of Collaborative Manufacturing Networks

Bnouhanna, Nisrine; Neugschwandtner, Georg

Cloud-based platforms and ecosystems are widely considered as a means of supporting collaborative manufacturing networks (CMN) among companies and, in particular, manufacturing SMEs. Due to the spatial separation of manufacturing activities among the CMN partners, there is a need for monitoring and coordinating the collaborative manufacturing processes. However, little research investigates inter-enterprise information exchange systems required for such monitoring and coordination. This paper proposes an approach for cross-factory information exchange considering connectivity and interoperability between various factory data sources and cloud-based collaborative production monitoring services. The paper also introduces a cross-factory information exchange mechanism, meta-models, and architecture to facilitate the ad-hoc, target specific data exchange and addresses SMEs’ adoption barriers, namely trust, security, data control, and integration efforts. A proof of concept of the proposed approach is presented.

The authors would like to thank their project partners for extensive discussions that provided thought-provoking impulses for the proof-of-concept and Florian Grötzner, Stefan Reitmayer and Issar Arab for their valuable efforts in implementing it.

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Files (326.1 kB)
Name Size
PID6004901.pdf
md5:74bafc55de3bd3448049d87785c5caa1
326.1 kB Download
111
63
views
downloads
All versions This version
Views 111111
Downloads 6363
Data volume 20.5 MB20.5 MB
Unique views 7979
Unique downloads 5555

Share

Cite as