2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2017
DOI: 10.1109/ieem.2017.8289899
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Design of an assistant system for industrial maintenance tasks and implementation of a prototype using augmented reality

Abstract: As the complexity of work tasks rises for maintenance workers in modern production facilities, new technologies will be required to support and integrate the service worker of tomorrow. This paper gives an insight into an ongoing research project examining the potential of smart glasses used as a component of assistant systems for workers performing maintenance tasks in an industry 4.0 context. A human centered design process is used to identify the needs of workers and to specify requirements for the assistan… Show more

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Cited by 24 publications
(15 citation statements)
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“…Pilot project Some papers presented work on prototypes at early stages without results of their performance (Jayaweera et al 2017;Kocisko et al 2017;Schlagowski et al 2017;Wolfartsberger et al 2017;Flatt et al 2015;Rodriguez et al 2015). As the developed prototypes had interesting features, those papers were added to the literature review despite them being not tested rigorously.…”
Section: Methodsmentioning
confidence: 99%
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“…Pilot project Some papers presented work on prototypes at early stages without results of their performance (Jayaweera et al 2017;Kocisko et al 2017;Schlagowski et al 2017;Wolfartsberger et al 2017;Flatt et al 2015;Rodriguez et al 2015). As the developed prototypes had interesting features, those papers were added to the literature review despite them being not tested rigorously.…”
Section: Methodsmentioning
confidence: 99%
“…The move from a fixed maintenance schedule to an adaptive one based on realtime data can be supported by AR. The flexibility of maintenance workers can be increased by showing the right data at the right time for a certain maintenance task (Schlagowski et al 2017;Flatt et al 2015).…”
Section: Maintenancementioning
confidence: 99%
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“…Aufrechterhalten dieses Zielzustands nötig sind, wurden u.a. durch Selbstbeobachtung analysiert und in wiederkehrende Sinnabschnitte (Teilaufgaben) gruppiert (Schlagowski et al 2017). Das erhobene Wissen wurde dabei so strukturiert, dass wie bei der Ziele-Mittel-Analyse (meansends analysis, (Newell und Simon 1972)) nach der Durchführung einer oder mehrerer Teilaufgaben jeweils ein eindeutig nachvollziehbarer Zustand der Produktionsanlage vorherrscht, ein sog.…”
Section: Analyse Des Nutzungskontextsunclassified