Please use this identifier to cite or link to this item: doi:10.22028/D291-39263
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Title: Using smart lighting systems to reduce energy costs in warehouses: A simulation study
Author(s): Füchtenhans, Marc
Glock, Christoph H.
Grosse, Eric H.
Zanoni, Simone
Language: English
Title: International Journal of Logistics Research and Applications
Volume: 26 (2023)
Issue: 1
Pages: 77-95
Publisher/Platform: Taylor & Francis
Year of Publication: 2021
Free key words: Warehousing
order picking
intelligent lighting
smart lighting
energy consumption
energy cost
DDC notations: 330 Economics
Publikation type: Journal Article
Abstract: Despite the various technical solutions for making lighting ‘smart,’ today’s lighting systems are often kept simple, and they are frequently not adjusted to user behaviours. This is especially the case for production and logistics facilities such as warehouses, where large areas have to be illuminated, and where lighting is often fully turned on while the warehouse operates. This paper presents a simulation model developed to evaluate the cost benefits potentially resulting from using smart lighting systems in warehouses. The simulation model allows for varying warehouse design and order picking process parameters. In addition, three different operating strategies for lighting systems representing different types of smart lighting technologies are implemented and compared to a conventional lighting system. A structured simulation study provides insights into how smart lighting systems interact with system design and process parameters, and how both collectively influence warehouse operating costs. The results of the simulation model and data obtained from a practical case indicate that smart lighting systems have great potential for reducing the energy consumption in warehouses relative to conventional lighting, and that, in addition to savings in cost, they can contribute to improving the environmental footprints of warehouses.
DOI of the first publication: 10.1080/13675567.2021.1937967
URL of the first publication: https://doi.org/10.1080/13675567.2021.1937967
Link to this record: urn:nbn:de:bsz:291--ds-392636
hdl:20.500.11880/35390
http://dx.doi.org/10.22028/D291-39263
ISSN: 1469-848X
1367-5567
Date of registration: 10-Mar-2023
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Wirtschaftswissenschaft
Professorship: HW - Prof. Dr. Eric Grosse
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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