%0 Conference Paper %1 percom_14_dashboard %A Gröger, Christoph %A Stach, Christoph %B Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communications Workshops %C Budapest %D 2014 %E Záruba, Gergely %E Farkas, Károly %E Mühlhäuser, Max %E Payton, Jamie %I IEEE %K Industry_4.0 data_analytics mobile_application process_optimization smart_factory %P 138–140 %R 10.1109/PerComW.2014.6815180 %T The Mobile Manufacturing Dashboard %X Real-time monitoring and analysis of manufacturing processes are critical success factors for the smart factory. While there is a variety of data analytics tools for process optimization, almost each of these applications is designed for desktop PCs and focuses on selected process aspects, only. I.e., there is a gap between the site the analysis outcomes occur (the management level) and the site where an immediate reaction to these results is required (the factory shop floor). Even worse, there is no mobile, holistic and analytics-based information provisioning tool for workers and production supervisors on the shop floor but rudimentary systems designed for limited application areas, only. Therefore, we introduce our Mobile Manufacturing Dashboard (MMD), a situation-aware manufacturing dashboard for mobile devices, as a key enabler for the Industry 4.0. The MMD provides advanced analytics and addresses the full range of process-oriented information needs of both shop floor workers and production supervisors. In this paper, we give a brief overview of the MMD's major architecture and implementation aspects and describe two representative real-world scenarios for the MMD. These characteristic scenarios provide the basis for our demonstration at the PerCom Demo Session. %@ 978-1-4799-2736-4

@inproceedings{percom_14_dashboard, abstract = {Real-time monitoring and analysis of manufacturing processes are critical success factors for the smart factory. While there is a variety of data analytics tools for process optimization, almost each of these applications is designed for desktop PCs and focuses on selected process aspects, only. I.e., there is a gap between the site the analysis outcomes occur (the management level) and the site where an immediate reaction to these results is required (the factory shop floor). Even worse, there is no mobile, holistic and analytics-based information provisioning tool for workers and production supervisors on the shop floor but rudimentary systems designed for limited application areas, only. Therefore, we introduce our Mobile Manufacturing Dashboard (MMD), a situation-aware manufacturing dashboard for mobile devices, as a key enabler for the Industry 4.0. The MMD provides advanced analytics and addresses the full range of process-oriented information needs of both shop floor workers and production supervisors. In this paper, we give a brief overview of the MMD's major architecture and implementation aspects and describe two representative real-world scenarios for the MMD. These characteristic scenarios provide the basis for our demonstration at the PerCom Demo Session.}, added-at = {2020-09-21T11:45:55.000+0200}, address = {Budapest}, author = {Gröger, Christoph and Stach, Christoph}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2b594a8fe62466efd2de10093e9e9703d/christophstach}, booktitle = {Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communications Workshops}, doi = {10.1109/PerComW.2014.6815180}, editor = {Záruba, Gergely and Farkas, Károly and Mühlhäuser, Max and Payton, Jamie}, interhash = {159abb449a61498d5018d213a9d29e7b}, intrahash = {b594a8fe62466efd2de10093e9e9703d}, isbn = {978-1-4799-2736-4}, keywords = {Industry_4.0 data_analytics mobile_application process_optimization smart_factory}, month = mar, pages = {138–140}, publisher = {IEEE}, series = {PerCom '14}, timestamp = {2020-09-21T09:45:55.000+0200}, title = {The Mobile Manufacturing Dashboard}, year = 2014 }