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Comparing order picking assisted by head-up display versus pick-by-light with explicit pick confirmation

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Scott GillilandAuthors Info & Claims

ISWC '15: Proceedings of the 2015 ACM International Symposium on Wearable Computers

Pages 133 - 136

https://doi.org/10.1145/2802083.2808408

Published: 07 September 2015 Publication History

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Abstract

Manual order picking is an important part of distribution. Many techniques have been proposed to improve pick efficiency and accuracy. Previous studies compared pick-by-HUD (Head-Up Display) with pick-by-light but without the explicit pick confirmation that is typical in industrial environments. We compare a pick-by-light system designed to emulate deployed systems with a pick-by-HUD system using Google Glass. The pick-by-light system tested 50% slower than pick-by-HUD and required a higher workload. The number of errors committed and picker preference showed no statistically significant difference.

References

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Guo, A., Wu, X., Shen, Z., Starner, T., Baumann, H., and Gilliland, S. Order picking with head-up displays. IEEE Computer 48, 6 (June 2015), 16--24.

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Łopuszyński MJanusz KKarwat D(2025)Comparative Study of Selected Order-Picking Methods: Efficiency, Ergonomics, and Adaptation Rate of New EmployeesSensors10.3390/s2503092325:3(923)Online publication date: 3-Feb-2025
https://doi.org/10.3390/s25030923
Chondromatidis NGialos AZeimpekis VMadas M(2024)Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory ExperimentsLogistics10.3390/logistics80100138:1(13)Online publication date: 30-Jan-2024
https://doi.org/10.3390/logistics8010013
Seetohul VSchweitzer KBöhmer M(2024)ShoulderTapper: Providing Directional Cues through Electrotactile Feedback for Target Acquisition in Pick-by-Light SystemsProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701597(228-234)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701597
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Index Terms

Comparing order picking assisted by head-up display versus pick-by-light with explicit pick confirmation
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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ISWC '15: Proceedings of the 2015 ACM International Symposium on Wearable Computers

September 2015

223 pages

ISBN:9781450335782

DOI:10.1145/2802083

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Kristof Van Laerhoven,
Tsutomu Terada

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Association for Computing Machinery

New York, NY, United States

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Published: 07 September 2015

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UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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Łopuszyński MJanusz KKarwat D(2025)Comparative Study of Selected Order-Picking Methods: Efficiency, Ergonomics, and Adaptation Rate of New EmployeesSensors10.3390/s2503092325:3(923)Online publication date: 3-Feb-2025
https://doi.org/10.3390/s25030923
Chondromatidis NGialos AZeimpekis VMadas M(2024)Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory ExperimentsLogistics10.3390/logistics80100138:1(13)Online publication date: 30-Jan-2024
https://doi.org/10.3390/logistics8010013
Seetohul VSchweitzer KBöhmer M(2024)ShoulderTapper: Providing Directional Cues through Electrotactile Feedback for Target Acquisition in Pick-by-Light SystemsProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701597(228-234)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701597
Chondromatidis NGialos AZeimpekis V(2022)Investigating the Performance of the Order-Picking Process by Using Smart Glasses: A Laboratory Experimental ApproachLogistics10.3390/logistics60400846:4(84)Online publication date: 8-Dec-2022
https://doi.org/10.3390/logistics6040084
Jumahat SSidhu MShah S(2022)Pick-by-vision of Augmented Reality in Warehouse Picking Process Optimization – A Review2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)10.1109/IICAIET55139.2022.9936785(1-6)Online publication date: 13-Sep-2022
https://doi.org/10.1109/IICAIET55139.2022.9936785
Zhang JWang SHe WLi JCao ZWei BWang M(2022)Material kitting in selective assembly: a manual order picking system based on augmented realityThe International Journal of Advanced Manufacturing Technology10.1007/s00170-022-10188-1123:1-2(675-686)Online publication date: 3-Oct-2022
https://doi.org/10.1007/s00170-022-10188-1
Mohammed Musthafa Sheriff IJohn Aravindhar D(2022)NLP-Oriented Voice-Based Order Picking System in a Warehouse Management: A Systematic ReviewSmart Data Intelligence10.1007/978-981-19-3311-0_16(185-198)Online publication date: 18-Aug-2022
https://doi.org/10.1007/978-981-19-3311-0_16
Lin GHaynes MSrinivas SKotipalli PStarner T(2021)Towards Finding the Optimum Position in the Visual Field for a Head Worn Display Used for Task Guidance with Non-registered GraphicsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34480915:1(1-26)Online publication date: 30-Mar-2021
https://dl.acm.org/doi/10.1145/3448091
Vijayakumar VSgarbossa F(2021)A literature review on the level of automation in picker-to-parts order picking system: research opportunitiesIFAC-PapersOnLine10.1016/j.ifacol.2021.08.05054:1(438-443)Online publication date: 2021
https://doi.org/10.1016/j.ifacol.2021.08.050
Fontin JLin S(2020)A Joint Comparative Analysis of Routing Heuristics and Paperless Picking Technologies Using Simulation and Data Envelopment AnalysisApplied Sciences10.3390/app1024877710:24(8777)Online publication date: 8-Dec-2020
https://doi.org/10.3390/app10248777
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Recommendations

A comparison of order picking assisted by head-up display (HUD), cart-mounted display (CMD), light, and paper pick list

A comparison of order picking methods augmented with weight checking error detection

An empirical task analysis of warehouse order picking using head-mounted displays

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