Testing vision picking technology in warehouse operations: Evidence from laboratory experiments
Lately, the complexity of warehouse operations has increased significantly due to the increase of same-day deliveries, customer requests for frequent and low-volume orders as well as the need for faster response times. Although all warehouse processes are critical, order picking contributes signific...
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University of Novi Sad, Faculty of Technical Sciences
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doaj-45ed6c9523154f1bbd7552a92eeff13f2020-11-24T21:46:40ZengUniversity of Novi Sad, Faculty of Technical SciencesInternational Journal of Industrial Engineering and Management2217-26612683-345X2020-02-011111930http://doi.org/10.24867/IJIEM-2020-1-249249Testing vision picking technology in warehouse operations: Evidence from laboratory experimentsA. Gialos0V. Zeimpekis1Department of Financial and Management Engineering, School of Engineering, University of the Aegean, Chios, GreeceDepartment of Financial and Management Engineering, School of Engineering, University of the Aegean, Chios, GreeceLately, the complexity of warehouse operations has increased significantly due to the increase of same-day deliveries, customer requests for frequent and low-volume orders as well as the need for faster response times. Although all warehouse processes are critical, order picking contributes significantly to the total operational warehouse costs and affects also customer service level. The aim of this paper is to present evidence from laboratory experiments that evaluate vision picking technology in both accuracy and time efficiency level. We adopt the Design of Experiments (DoE) methodologyin order to examine the impact of four parameters that affect the performance of the system. The results are encouraging showing the benefits that order pickers may have by adopting the proposed technology.http://ijiemjournal.org/counter/click.php?id=vol11_01_02vision pickingwearable technologylogistics 4.0smart glasses |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. Gialos V. Zeimpekis |
spellingShingle |
A. Gialos V. Zeimpekis Testing vision picking technology in warehouse operations: Evidence from laboratory experiments International Journal of Industrial Engineering and Management vision picking wearable technology logistics 4.0 smart glasses |
author_facet |
A. Gialos V. Zeimpekis |
author_sort |
A. Gialos |
title |
Testing vision picking technology in warehouse operations: Evidence from laboratory experiments |
title_short |
Testing vision picking technology in warehouse operations: Evidence from laboratory experiments |
title_full |
Testing vision picking technology in warehouse operations: Evidence from laboratory experiments |
title_fullStr |
Testing vision picking technology in warehouse operations: Evidence from laboratory experiments |
title_full_unstemmed |
Testing vision picking technology in warehouse operations: Evidence from laboratory experiments |
title_sort |
testing vision picking technology in warehouse operations: evidence from laboratory experiments |
publisher |
University of Novi Sad, Faculty of Technical Sciences |
series |
International Journal of Industrial Engineering and Management |
issn |
2217-2661 2683-345X |
publishDate |
2020-02-01 |
description |
Lately, the complexity of warehouse operations has increased significantly due to the
increase of same-day deliveries, customer requests for frequent and low-volume orders as well as the need for faster response times. Although all warehouse processes are critical, order picking contributes significantly to the total operational warehouse costs and affects also customer service level. The aim of this paper is to present evidence from laboratory
experiments that evaluate vision picking technology in both accuracy and time efficiency level. We adopt the Design of Experiments (DoE) methodologyin order to examine the impact
of four parameters that affect the performance of the system. The results are encouraging showing the benefits that order pickers may have by adopting the proposed technology. |
topic |
vision picking wearable technology logistics 4.0 smart glasses |
url |
http://ijiemjournal.org/counter/click.php?id=vol11_01_02 |
work_keys_str_mv |
AT agialos testingvisionpickingtechnologyinwarehouseoperationsevidencefromlaboratoryexperiments AT vzeimpekis testingvisionpickingtechnologyinwarehouseoperationsevidencefromlaboratoryexperiments |
_version_ |
1725900721454317568 |