Lean data for lean production

被引：0

作者：

Müller, Rainer ^{[1
]}

Blum, Anne ^{[1
]}

Mende, Leonie ^{[1
]}

Decker, Jacob ^{[2
]}

Wilhelm, Yannick ^{[2
]}

机构：

[1] Universität des Saarlandes, Lehrstuhl für Montagesysteme, Eschberger Weg 46, Saarbrücken,66121, Germany

[2] Festo SE & Co. KG, Plieninger Str. 50, Ostfildern,73760, Germany

来源：

WT Werkstattstechnik | 2020年 / 110卷 / 09期

关键词：

Automated data analysis - Data base - Digitisation - Heterogeneous data - Lean management - Process data - Test data in;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Ongoing digitization generates more and more process and test data in production. Conceptually, most of the acquired data are not designed for data analysis: With such heterogeneous data, it is difficult to perform analyses. Automated data analysis requires a structured development of the data basis and the way data are handled. This paper applies lean management approaches for optimizing measurement and data planning. © 2020, VDI Fachmedien GmBbH & Co. All rights reserved.

引用

页码：639 / 644

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