English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

Using smart lighting systems to reduce energy costs in warehouses: A simulation study