%0 Conference Paper %1 LesselMuellerKrueger15CHI %A Lessel, Pascal %A Müller, Marc %A Krüger, Antonio %B Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '15), Seoul, Republic of Korea %C New York %D 2015 %I ACM %K 01624 acm paper dfki embedded ai factory process assist user interface zzz.hci zzz.sfit %P 1809--1814 %R 10.1145/2702613.2732720 %T Towards a Novel Issue Tracking System for ''Industry 4.0'' Environments %X In this paper we describe the concept and system design of a novel tracking system for deviations and disturbances in a production environment. We motivate the need for such a system by reporting our observations of two production systems of German manufacturing companies. Our envisioned system focuses on helping and motivating people to digitally document the problems, potential causes and steps to overcome the issues more thoroughly and provide capabilities that make these easily accessible at the point in time when they are needed. Such a functionality is not only helpful for problem solving in the general production system itself, but can also be used for other specific aspects of it, e.g. errors requiring documentation in the manual end-assembly that can also profit from the same strategies. %@ 978-1-4503-3146-3

@inproceedings{LesselMuellerKrueger15CHI, abstract = {In this paper we describe the concept and system design of a novel tracking system for deviations and disturbances in a production environment. We motivate the need for such a system by reporting our observations of two production systems of German manufacturing companies. Our envisioned system focuses on helping and motivating people to digitally document the problems, potential causes and steps to overcome the issues more thoroughly and provide capabilities that make these easily accessible at the point in time when they are needed. Such a functionality is not only helpful for problem solving in the general production system itself, but can also be used for other specific aspects of it, e.g. errors requiring documentation in the manual end-assembly that can also profit from the same strategies.}, added-at = {2017-05-21T16:24:07.000+0200}, address = {New York}, author = {Lessel, Pascal and M\"{u}ller, Marc and Kr\"{u}ger, Antonio}, biburl = {https://www.bibsonomy.org/bibtex/2e8ce663c943830a907e4059335e26218/flint63}, booktitle = {Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '15), Seoul, Republic of Korea}, doi = {10.1145/2702613.2732720}, file = {ACM Digital Library:2015/LesselMuellerKrueger15CHI.pdf:PDF}, groups = {public}, interhash = {6cc2f49d856904a1a9c105f547e0ced9}, intrahash = {e8ce663c943830a907e4059335e26218}, isbn = {978-1-4503-3146-3}, keywords = {01624 acm paper dfki embedded ai factory process assist user interface zzz.hci zzz.sfit}, pages = {1809--1814}, publisher = {ACM}, timestamp = {2017-07-13T17:24:23.000+0200}, title = {Towards a Novel Issue Tracking System for {''Industry 4.0''} Environments}, username = {flint63}, year = 2015 }