Marketing

Context (archaeology)

Algorithm

Usability

Electric light

Order picking

Engineering

Biology

Computer security

Systems engineering

Computer science

Risk analysis (engineering)

Manufacturing engineering

Business

Smart environment

Smart lighting

Paleontology

Physics

Operations research

Visibility

Internet of Things

Optics

Warehouse

Architectural engineering

Smart manufacturing

Finance

Human–computer interaction

Order (exchange)

State (computer science)

Electrical engineering

International Journal of Production Research

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.

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