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Vision picking technology: defining design parameters via a systematic literature review

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  • Anastasios Gialos
  • Vasileios Zeimpekis

Abstract

Although various product picking technologies are currently available yet there is still a need for higher productivity and less operational cost. Vision picking through smart glasses and augmented reality seems to be a promising technology. The latter uses wearable and vision-guided picking technologies to produce a faster, hands-free and accurate solution for industrial operations. The aim of this paper is to provide an overview of vision picking technology and identify critical parameters that should be taken into consideration for vision picking system design, development and testing. The research identifies 25 critical parameters that are classified into three categories, namely: a) system parameterisation; b) operational performance; c) comparative assessment with other picking systems. Furthermore, insights about the research path and future research directions in the field of vision picking technology are presented. Last but not least, useful guidelines for practitioners and system designers are also discussed.

Suggested Citation

  • Anastasios Gialos & Vasileios Zeimpekis, 2020. "Vision picking technology: defining design parameters via a systematic literature review," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 37(1), pages 106-139.
    • Handle: RePEc:ids:ijlsma:v:37:y:2020:i:1:p:106-139
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    Cited by:

    1. Nikolaos Chondromatidis & Anastasios Gialos & Vasileios Zeimpekis, 2022. "Investigating the Performance of the Order-Picking Process by Using Smart Glasses: A Laboratory Experimental Approach," Logistics, MDPI, vol. 6(4), pages 1-26, December.

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