Adaptive instructions to novice shop-floor operators using Augmented Reality

被引：30
作者：
Holm M. [1 ]
Danielsson O. [1 ]
Syberfeldt A. [1 ]
Moore P. [1 ]
Wang L. [2 ]
机构：
[1] School of Engineering Science, University of Skövde, Skövde
[2] Sustainable Manufacturing, KTH Royal Institute of Technology, Stockholm
来源：
Holm, Magnus (magnus.holm@his.se) | 1600年 / Taylor and Francis Ltd.卷 / 34期
基金：
欧盟地平线“2020”;
关键词：
Adaptive instructions; Augmented Reality; expert systems; shop-floor operators; shop-floor support;
D O I：
10.1080/21681015.2017.1320592
中图分类号：
学科分类号：
摘要：
This paper presents a novel system using Augmented Reality and Expert Systems to enhance the quality and efficiency of shop-floor operators. The novel system proposed provides an adaptive tool that facilitates and enhances support on the shop-floor, due to its ability to dynamically customize the instructions displayed, dependent upon the competence of the user. A comparative study has been made between an existing method of quality control instructions at a machining line in an automotive engine plant and this novel system. It has been shown that the new approach outcompetes the existing system, not only in terms of perceived usability but also with respect to two other important shop-floor variables: quality and productivity. Along with previous research, the outcomes of these test cases indicate the value of using Augmented Reality technology to enhance shop-floor operators’ ability to learn and master new tasks. © 2017 Chinese Institute of Industrial Engineers.
引用
收藏
页码：362 / 374
页数：12
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