research-article

Pick from here!: an interactive mobile cart using in-situ projection for order picking

Authors:

Alireza Sahami Shirazi,

Albrecht SchmidtAuthors Info & Claims

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 601 - 609

https://doi.org/10.1145/2750858.2804268

Published: 07 September 2015 Publication History

Abstract

Order Picking is not only one of the most important but also most mentally demanding and error-prone tasks in the industry. Both stationary and wearable systems have been introduced to facilitate this task. Existing stationary systems are not scalable because of the high cost and wearable systems have issues being accepted by the workers. In this paper, we introduce a mobile camera-projector cart called OrderPickAR, which combines the benefits of both stationary and mobile systems to support order picking through Augmented Reality. Our system dynamically projects in-situ picking information into the storage system and automatically detects when a picking task is done. In a lab study, we compare our system to existing approaches, i.e, Pick-by-Paper, Pick-by-Voice, and Pick-by-Vision. The results show that using the proposed system, order picking is almost twice as fast as other approaches, the error rate is decreased up to 9 times, and mental demands are reduced up to 50%.

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Cited By

Lystbæk MPfeuffer KLanglotz TGrønbæk JGellersen H(2024)Spatial Gaze Markers: Supporting Effective Task Switching in Augmented RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642811(1-11)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642811
Graf FBazlen FDegel SLindermayr J(2024)Intelligent Pointer Unit to Speed Up the Shelf Replenishment Process in Retail StoresDynamics in Logistics10.1007/978-3-031-56826-8_35(452-463)Online publication date: 3-Apr-2024
https://doi.org/10.1007/978-3-031-56826-8_35
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
Show More Cited By

Index Terms

Pick from here!: an interactive mobile cart using in-situ projection for order picking
1. Human-centered computing

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Information

Published In

cover image ACM Conferences

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2015

1302 pages

ISBN:9781450335744

DOI:10.1145/2750858

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Yahoo! Japan: Yahoo! Japan
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
FX Palo Alto Laboratory, Inc.: FX Palo Alto Laboratory, Inc.
Google Inc.
ACM: Association for Computing Machinery
Rakuten Institute of Technology: Rakuten Institute of Technology
Microsoft: Microsoft
Bell Labs: Bell Laboratories
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
KDDI
Panasonic: Panasonic Corporation
NTT DoCoMo
Telefónica: Telefónica
ISTC-PC: Intel Science and Technology Center for Pervasive Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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Bundesministerium fur Wirtschaft und Energie

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UbiComp '15

Sponsor:

Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

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

September 7 - 11, 2015

Osaka, Japan

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Cited By

Lystbæk MPfeuffer KLanglotz TGrønbæk JGellersen H(2024)Spatial Gaze Markers: Supporting Effective Task Switching in Augmented RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642811(1-11)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642811
Graf FBazlen FDegel SLindermayr J(2024)Intelligent Pointer Unit to Speed Up the Shelf Replenishment Process in Retail StoresDynamics in Logistics10.1007/978-3-031-56826-8_35(452-463)Online publication date: 3-Apr-2024
https://doi.org/10.1007/978-3-031-56826-8_35
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
DÜNDAR AÖLGER A(2022)MANUEL SİPARİŞ TOPLAMA OPERASYONLARINDA HATA TESPİT UYGULAMASI: AĞIRLIK KONTROL NOKTASIGaziantep University Journal of Social Sciences10.21547/jss.93460621:2(751-767)Online publication date: 30-Apr-2022
https://doi.org/10.21547/jss.934606
Rasmussen T(2022)authAR - Automatic Authoring of Picking and Layout Optimization InstructionsProceedings of the 34th Australian Conference on Human-Computer Interaction10.1145/3572921.3572949(199-205)Online publication date: 29-Nov-2022
https://dl.acm.org/doi/10.1145/3572921.3572949
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
De Lombaert TBraekers KDe Koster RRamaekers K(2022)In pursuit of humanised order picking planning: methodological review, literature classification and input from practiceInternational Journal of Production Research10.1080/00207543.2022.207943761:10(3300-3330)Online publication date: 1-Jun-2022
https://doi.org/10.1080/00207543.2022.2079437
Zhang JWang SHe WLi JCao ZWei B(2022)Projected augmented reality assembly assistance system supporting multi-modal interactionThe International Journal of Advanced Manufacturing Technology10.1007/s00170-022-10113-6123:3-4(1353-1367)Online publication date: 3-Oct-2022
https://doi.org/10.1007/s00170-022-10113-6
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
Kosch TKnierim PKritzler MBeicht DMichahelles F(2022)Lenssembly: Authoring Assembly Instructions in Augmented Reality Using Programming-by-DemonstrationHuman-Technology Interaction10.1007/978-3-030-99235-4_8(199-222)Online publication date: 14-Dec-2022
https://doi.org/10.1007/978-3-030-99235-4_8
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