Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen: doi:10.22028/D291-37780
Volltext verfügbar? / Dokumentlieferung
Titel: Determining the source of human-system errors in manual order picking with respect to human factors
VerfasserIn: Setayesh, Azin
Grosse, Eric H.
Glock, Christoph H.
Neumann, W. Patrick
Sprache: Englisch
Titel: International Journal of Production Research
Bandnummer: 60 (2022)
Heft: 20
Seiten: 6350–6372
Verlag/Plattform: Taylor & Francis
Erscheinungsjahr: 2021
Freie Schlagwörter: Human system error
order picking systems
pick errors
ergonomics
quality
qualitative interviews
DDC-Sachgruppe: 330 Wirtschaft
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Order picking (OP) is a time- and labour-intensive operation in which human-system errors can lead to deficiencies in quality. This study aimed to identify human factors-related failure modes that cause human-system errors and quality deficits in OP. We conducted a systematic literature review and qualitative interviews with 38 order pickers employed by 14 different companies in four countries. The literature review found 46 papers that identified eight different failure modes related to OP system design: physical workload, physical fatigue, mental fatigue, complexity, memory demand, vision, hearing, and motivation. The interview results confirmed many of the same factors noted in the literature review but also identified communication and supervision failure modes that had not been addressed before. The results illustrate human factors-related failure modes linked to OP system design, operation, and management that ultimately increase quality deficits and pick errors. Further research on human factors and OP system design interaction is warranted, as no assessment tool has been found to support engineers and managers seeking to improve system designs to reduce pick errors.
DOI der Erstveröffentlichung: 10.1080/00207543.2021.1991022
URL der Erstveröffentlichung: https://www.tandfonline.com/doi/full/10.1080/00207543.2021.1991022
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-377801
hdl:20.500.11880/34170
http://dx.doi.org/10.22028/D291-37780
ISSN: 1366-588X
0020-7543
Datum des Eintrags: 2-Nov-2022
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:
Es gibt keine Dateien zu dieser Ressource.


Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.