A requirement-driven approach for competency-based collaboration in industrial data science projects

Marius Syberg; Nikolai West; Jörn Schwenken; Rebekka Adams; Jochen Deuse

doi:10.4995/ijpme.2024.19123

Authors

Marius Syberg TU Dortmund University https://orcid.org/0000-0001-8832-4293
Nikolai West TU Dortmund University https://orcid.org/0000-0002-3657-0211
Jörn Schwenken TU Dortmund University https://orcid.org/0000-0003-2549-9664
Rebekka Adams NEOCOSMO GmbH
Jochen Deuse TU Dortmund University https://orcid.org/0000-0003-4066-4357

DOI:

https://doi.org/10.4995/ijpme.2024.19123

Keywords:

Industrial Data Science, Data Analytics, Industrial Production, Platform Economy, Competence Development

Abstract

The digitization of learning resources has led to an increase in specialized collaboration platforms across various fields, including the need for manufacturing companies to develop and maintain expertise in Industrial Data Science (IDS). This paper presents an approach to integrating collaborative and competency-based needs specific to industrial data analytics into a functional collaboration platform. We define the unique requirements of IDS projects and translate them into platform features. These features are then implemented and tested in an online platform within a research project, validating their effectiveness in a dynamic value network setting. The platform’s primary innovation lies in its tailored design for IDS project practitioners from diverse domains, ensuring sustainable integration of data analytics in industrial settings. The initial version of this collaborative platform is currently accessible online and undergoing validation.

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Author Biographies

Marius Syberg, TU Dortmund University

Institute of Production System

Nikolai West, TU Dortmund University

Institute of Production Systems

Jörn Schwenken, TU Dortmund University

Institute of Production Systems

Rebekka Adams, NEOCOSMO GmbH

-

Jochen Deuse, TU Dortmund University

Institute of Production Systems

Since 2019, he additionally holds a professorship at the University of Technology Sydney (UTS), Faculty of Engineering and Information Technology, School of Mechanical and Mechatronic Engineering and is Director of the "Centre for Advanced Manufacturing" at UTS since 2020.

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