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Increasingly complex products and production technology, as well as customer requirements, pose major challenges for the manufacturing industry. Data-based techniques offer new possibilities for problem-solving but also bring new demands on operational IT architectures as well as competences and procedures. The article addresses future challenges of data-based problem-solving and highlights new roles and competence profiles in the context of changing IT and organizational structures by highlighting experiences from electronics manufacturing.

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Future Challenges of Data-Driven Problem-Solving in Producing Companies in Context of Digital Sovereignty and Lessons Learned from Electronics Industry

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • René Wöstmann,
  • Lukas Schulte,
  • Florian Meierhofer,
  • Gunter Beitinger,
  • Jochen Deuse

摘要

Increasingly complex products and production technology, as well as customer requirements, pose major challenges for the manufacturing industry. Data-based techniques offer new possibilities for problem-solving but also bring new demands on operational IT architectures as well as competences and procedures. The article addresses future challenges of data-based problem-solving and highlights new roles and competence profiles in the context of changing IT and organizational structures by highlighting experiences from electronics manufacturing.