Learning Factory modules for smart factories in Industrie 4.0

被引:108
|
作者
Prinz, Christopher [1 ]
Morlock, Friedrich [1 ]
Freith, Sebastian [1 ]
Kreggenfeld, Niklas [1 ]
Kreimeier, Dieter [1 ]
Kuhlenkoetter, Bernd [1 ]
机构
[1] Ruhr Univ Bochum, Chair Prod Syst, Univ Str 150, D-44801 Bochum, Germany
来源
6TH CIRP CONFERENCE ON LEARNING FACTORIES | 2016年 / 54卷
关键词
Industry; 4.0; learning factory; operating figures; human-machine-interaction; ORGANIZATION; MANAGEMENT;
D O I
10.1016/j.procir.2016.05.105
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Industrie 4.0 has become more and more important for industry in recent years. A lot of companies are currently facing the challenge that plenty of technologies like the information and communication technology are indeed available but the companies, i.e. the individual employees, are not prepared for a successful use of Industrie 4.0. Therefore, learning factories can make a substantial contribution toward the understanding of Industrie 4.0. Learning factories are more frequently used to instruct students and employees. Workplace-related scenarios can be mapped through practical learning. This proceeding enables participants to transfer learned knowledge directly to the own workplace. This article presents a variety of learning modules for the smart factory in Industrie 4.0. It describes the new job profile of employees in Industrie 4.0 and thoroughly discusses the various learning modules with their individual learning targets and mapped scenarios. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:113 / 118
页数:6
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