Knowledge Management Models for the Smart Factory: A Comparative Analysis of Current Approaches

被引:5
作者
Tinz, Patrick [1 ]
Tinz, Janik [1 ]
Zander, Stefan [2 ]
机构
[1] Accso Accelerated Solut GmbH, Berliner Allee 58, D-64295 Darmstadt, Germany
[2] Univ Appl Sci, Hsch Darmstadt, Schofferstr 8B, D-64295 Darmstadt, Germany
来源
KMIS: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, VOL 3: KMIS | 2019年
关键词
Knowledge Management; Industry; 4.0; Smart Factory; Industrial Internet;
D O I
10.5220/0008348803980404
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper analyses current and well-known knowledge management models regarding their applicability to smart factories and the Industry 4.0. In form of a literature study, we surveyed the specific challenges and requirements that smart factories and the ongoing digital transition in the industrial sector introduce to knowledge management systems and models. In the second part, we then expound the extent to which those requirements are supported by well-established knowledge management models in form of a comparative analysis. A central result of this work is that an Industry 4.0 compliant knowledge management needs to incorporate aspects that emphasize human-machine and machine-machine interaction together with data protection and privacy concerns, besides other well-researched and established aspects.
引用
收藏
页码:398 / 404
页数:7
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