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Pick-by-Vision comes on age: evaluation of an augmented reality supported picking system in a real storage environment

Published: 04 February 2009 Publication History

Abstract

Order picking is one of the most important process steps in logistics. Because of their flexibility human beings cannot be replaced by machines. But if workers in order picking systems are equipped with a head-mounted display, Augmented Reality can improve the information visualization.
In this paper the development of such a system -- called Pick-by-Vision - is presented. The system is evaluated in a user study performed in a real storage environment. Important logistics figures as well as subjective figures were measured. The results show that a Pick-by-Vision system can improve considerably industrial order picking processes.

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Cited By

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  • (2024)Flicker Augmentations: Rapid Brightness Modulation for Real-World Visual Guidance using Augmented RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642085(1-19)Online publication date: 11-May-2024
  • (2023)Zarządzanie projektem informatycznym na przykładzie wdrożenia w środowisku magazynowymEkonomika i Organizacja Logistyki10.22630/EIOL.2023.8.3.218:3(61-80)Online publication date: 16-Dec-2023
  • (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
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      Jeanine M. Meyer

      This paper describes the design and evaluation of augmented reality (AR) systems, to help workers perform order picking. Order picking is the gathering together of collections of specified parts from storage bins for delivery to other stations in the factory or for distribution to outside customers. Order picking is a critical step in manufacturing that is difficult to automate. The authors' approach is to outfit the operators with headsets that project text, circles, and lines onto the field of view. The operators communicate back to the computer application using either an adjusting knob or directed speech (small vocabulary). The authors provide background on the topic, briefly explain the hardware and software of the systems, and describe the experiments they performed to compare AR systems with a standard method involving paper lists; they include a rigorous statistical analysis of the results. Reif et al. are aware of the human sensitivity to being tethered to a machine, along with other challenges to implementation. The paper shows that AR systems can produce improvements in performance time and error rates. The authors describe future work that incorporates tracking the operator. The paper is not written in idiomatic English: the sentences and paragraphs are long and the authors use too many acronyms. There are only two small photographs of what the operator actually sees, and no step-by-step descriptions of the interactions. However, despite these shortcomings, people in two distinct fields-manufacturing research and AR for computer games-will find the paper worthwhile. Online Computing Reviews Service

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      cover image ACM Conferences
      AFRIGRAPH '09: Proceedings of the 6th International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa
      February 2009
      113 pages
      ISBN:9781605584287
      DOI:10.1145/1503454
      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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      Published: 04 February 2009

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      Author Tags

      1. 3D geometries
      2. augmented reality
      3. order picking
      4. user studies

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      Cited By

      View all
      • (2024)Flicker Augmentations: Rapid Brightness Modulation for Real-World Visual Guidance using Augmented RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642085(1-19)Online publication date: 11-May-2024
      • (2023)Zarządzanie projektem informatycznym na przykładzie wdrożenia w środowisku magazynowymEkonomika i Organizacja Logistyki10.22630/EIOL.2023.8.3.218:3(61-80)Online publication date: 16-Dec-2023
      • (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
      • (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
      • (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
      • (2021)Unterstützung der Kommisionierung von Waren durch Augmented RealitySystematische Entwicklung von Dienstleistungsinnovationen10.1007/978-3-658-31768-3_19(331-350)Online publication date: 22-Jun-2021
      • (2020)Analysing picking errors in vision picking systemsLogistics & Sustainable Transport10.2478/jlst-2020-000611:1(90-100)Online publication date: 20-Feb-2020
      • (2020)AR-glasses-based attention guiding for complex environmentsProceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3389189.3389198(1-10)Online publication date: 30-Jun-2020
      • (2019)Mixed reality system for industrial environment: an evaluation studyCAAI Transactions on Intelligence Technology10.1049/trit.2017.00172:4(182-193)Online publication date: 3-May-2019
      • (2019)Augmented Reality in Support of Intelligent Manufacturing – A Systematic Literature ReviewComputers & Industrial Engineering10.1016/j.cie.2019.106195(106195)Online publication date: Dec-2019
      • Show More Cited By

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