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

Authors: Anastasios Gialos; Vasileios Zeimpekis

Addresses: Department of Financial and Management Engineering, School of Engineering, University of the Aegean, Chios – 82100, Greece ' Department of Financial and Management Engineering, School of Engineering, University of the Aegean, Chios – 82100, Greece

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.

Keywords: content analysis; logistics 4.0; structural literature review; vision picking; system design parameters.

DOI: 10.1504/IJLSM.2020.109673

International Journal of Logistics Systems and Management, 2020 Vol.37 No.1, pp.106 - 139

Received: 24 Jul 2019
Accepted: 01 Nov 2019
Published online: 18 Sep 2020 *

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