Resilient Manufacturing in Times of Mass Customisation: Using Augmented Reality to Improve Training and Operating Practices of EV’s Battery Assembly

L.C Moreira, Marcos Kauffman

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

Abstract

This paper outlines the results of an experimental research on deploying an emerging augmented reality (AR) system for real-time task assistance (or work instructions) of highly customised and high-risk manual operations. The focus is on human operators’ training effectiveness and performance and the aim is to test if such technologies can support enhancing the knowledge retention levels and accuracy of task execution to improve health and safety (H&S). A new
AR enhanced assembly method is proposed and experimentally tested using a real industrial process as case study for electric vehicles’ (EV) battery module assembly. The experimental results revealed that the proposed method improved the training practices and performance through increases in the knowledge retention levels from 40% to 84%, and accuracy of task execution from 20% to 71%, when compared to the traditional paper-based method. The results of this research validate and demonstrate how emerging technologies are advancing the choice for manual, hybrid or fully automated processes by
promoting the XR-assisted processes, and the connected worker (a vision for Industry 4 and 5.0), and supporting manufacturing become more resilient in times of constant market changes.
Original languageEnglish
Title of host publication16th International Conference on Computers and Industrial Engineering (ICCIE 2022)
PublisherWorld Academy of Science, Engineering and Technology
Pages56-60
Number of pages5
Publication statusPublished - 2 Jun 2022
Event16th International Conference on Computers and Industrial Engineering - San Francisco , United States
Duration: 2 Jun 20223 Jun 2022

Publication series

NameWorld academy of science, engineering and technology
ISSN (Electronic)1307-6892

Conference

Conference16th International Conference on Computers and Industrial Engineering
Abbreviated title ICCIE 2022
Country/TerritoryUnited States
CitySan Francisco
Period2/06/223/06/22

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