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Titel: Smart lighting systems : state-of-the-art and potential applications in warehouse order picking
VerfasserIn: Füchtenhans, Marc
Grosse, Eric H.
Glock, Christoph H.
Sprache: Englisch
Titel: International Journal of Production Research
Bandnummer: 59
Heft: 12
Seiten: 3817–3839
Verlag/Plattform: Taylor & Francis
Erscheinungsjahr: 2021
Freie Schlagwörter: Intelligent lighting
light
systematic literature review
order picking
warehousing
DDC-Sachgruppe: 330 Wirtschaft
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Artificial lighting is a constant companion in everyday private and working life, influencing visibility in interior spaces as well as outdoors. In recent years, new technical solutions have extended traditional lighting systems to become ‘smart’. Different types of smart lighting systems are available on the market today, and researchers have concentrated on analysing their usability and efficiency, especially for private households, office buildings and public streets. This paper presents a systematic literature review to analyse the state-of-knowledge of technologies and applications for smart lighting systems. The results of the review show that smart lighting systems have been frequently discussed in the literature, but that their potentials in industrial environments, such as production and logistics, has rarely been addressed in the literature so far. Lighting systems for industrial environments often have very different requirements depending on the working environment and operating conditions. Based on the results of the literature review, this paper contributes to closing this research gap by discussing the usage potential of smart lighting systems to improve the efficiency of warehouse order picking, which is an application that may benefit from various functions smart lighting systems provide. Several propositions are developed that emphasise research opportunities and managerial implications in this context.
DOI der Erstveröffentlichung: 10.1080/00207543.2021.1897177
URL der Erstveröffentlichung: https://www.tandfonline.com/doi/full/10.1080/00207543.2021.1897177
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-372906
hdl:20.500.11880/33785
http://dx.doi.org/10.22028/D291-37290
ISSN: 1366-588X
0020-7543
Datum des Eintrags: 19-Sep-2022
Bezeichnung des in Beziehung stehenden Objekts: Supplemental Material
In Beziehung stehendes Objekt: https://ndownloader.figstatic.com/files/26808986
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

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Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons