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Smart lighting systems: state-of-the-art and potential applications in warehouse order picking

Author

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  • Marc Füchtenhans
  • Eric H. Grosse
  • Christoph H. Glock

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.

Suggested Citation

  • Marc Füchtenhans & Eric H. Grosse & Christoph H. Glock, 2021. "Smart lighting systems: state-of-the-art and potential applications in warehouse order picking," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3817-3839, June.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:12:p:3817-3839
    DOI: 10.1080/00207543.2021.1897177
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    Cited by:

    1. Jingwen Lu & He Yi & Xiang Li & Narayanaswamy Balakrishnan, 2023. "Joint Reliability of Two Consecutive-(1, l) or (2, k)-out-of-(2, n): F Type Systems and Its Application in Smart Street Light Deployment," Methodology and Computing in Applied Probability, Springer, vol. 25(1), pages 1-26, March.
    2. Burgos, Diana & Ivanov, Dmitry, 2021. "Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).

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