Herausforderungen bei der Data-Science-Anwendung/Challenges in the application of data science

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Cover of Volume: wt Werkstattstechnik online Volume 114 (2024), Issue 04
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wt Werkstattstechnik online

Volume 114 (2024), Issue 04

Authors:
Publisher
VDI fachmedien, Düsseldorf
Copyright Year
2024
ISSN-Online
1436-4980
ISSN-Print
1436-4980

Chapter information

Open Access Full access

Volume 114 (2024), Issue 04

Herausforderungen bei der Data-Science-Anwendung/Challenges in the application of data science

Authors:
ISSN-Print
1436-4980
ISSN-Online
1436-4980
Preview:

Efficient factory planning is becoming increasingly important in an ever more dynamic competitive environment. The automated generation of planning information from production data provides an approach to avoid errors in factory planning, accelerate the factory planning process and thus increase the efficiency of factory planning. The challenges involved in implementing such approaches are analyzed below and suitable solutions are derived.

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