Digital assistance systems for picking applications.

被引:0
|
作者
Merkel L. [1 ]
Schultz C. [2 ]
Braunreuther S. [3 ]
Reinhart G. [1 ]
机构
[1] TU München, Germany
[2] Ruhr-Universität Bochum, Germany
[3] Institut für Werkzeugmaschinen, Germany
来源
关键词
D O I
10.3139/104.111604
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The growing demand for customer- individual products increases the number of product variants in production. Individual worker support, from picking lists to augmented reality glasses, can provide a solution for the growing complexity in production. This article compares different technical solutions for picking applica tions in production by technical and economic factors. Furthermore, this article describes their application in the learning factory for cyber-physical production systems. © 2016 Carl Hanser Verlag, München.
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页码:687 / 690
页数:3
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