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doi:10.22028/D291-38765
Titel: | Potential of mobile applications in human-centric production and logistics management |
VerfasserIn: | Zhang, Minqi Grosse, Eric H. Glock, Christoph H. |
Sprache: | Englisch |
Titel: | IFAC-PapersOnLine |
Bandnummer: | 55 |
Heft: | 10 |
Seiten: | 151-156 |
Verlag/Plattform: | Elsevier |
Erscheinungsjahr: | 2022 |
Freie Schlagwörter: | App Mobile application Smart device Human factors Systematic literature review |
DDC-Sachgruppe: | 600 Technik |
Dokumenttyp: | Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag) |
Abstract: | With the increasing market penetration of smart devices (smartphones, smartwatches, and tablets), various mobile applications (apps) have been developed to fulfill tasks in daily life. Recently, efforts have been made to develop apps to support human operators in industrial work. When apps installed on commercial devices are utilized, tasks that were formerly done purely manually or with the help of investment-intensive specific devices can be performed more efficiently and/or at a lower cost and with reduced errors. Despite their advantages, smart devices have limitations because embedded sensors (e.g., accelerometers) and components (e.g., cameras) are usually designed for nonindustrial use. Hence, validation experiments and case studies for industrial applications are needed to ensure the reliability of app usage. In this study, a systematic literature review was employed to identify the state of knowledge about the use of mobile apps in production and logistics management. The results show how apps can support human centricity based on the enabling technologies and components of smart devices. An outlook for future research and applications is provided, including the need for proper validation studies to ensure the diversity and reliability of apps and more research on psychosocial aspects of human-technology interaction. |
DOI der Erstveröffentlichung: | 10.1016/j.ifacol.2022.09.382 |
URL der Erstveröffentlichung: | https://doi.org/10.1016/j.ifacol.2022.09.382 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-387654 hdl:20.500.11880/34928 http://dx.doi.org/10.22028/D291-38765 |
ISSN: | 2405-8963 |
Datum des Eintrags: | 19-Jan-2023 |
Fakultät: | HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft |
Fachrichtung: | HW - Wirtschaftswissenschaft |
Professur: | HW - Prof. Dr. Eric Grosse |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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1-s2.0-S240589632201655X-main.pdf | 443,82 kB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons