Process X – A Data Space for the Process Industry

Abstract The need for improved resilience, increased efficiency in production chains, and the need to raise resource efficiency require more cross‐company information exchange. Data spaces are digital ecosystems, in which companies host their own information within their systems and thus retain sovereignty over the data and its access. The Manufacturing‐X initiative is an industrial policy initiative to develop such a data space; in that context, Process‐X deals with the process industry. Within the Process‐X initiative, a showcase was developed. An exchange of regular steam forecasts enables the energy supplier to adjust the level of confidence to the forecast consumption and thus save primary energy in generation.

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Publication Details

Journal
Chemie Ingenieur Technik
Published
2025-04-16
DOI
https://doi.org/10.1002/cite.202500007
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Process X – A Data Space for the Process Industry

Torben Miny, Udo Enste, Felix Buss, Andreas Schueller et al.
Chemie Ingenieur Technik
Business Process Modeling and Analysis
article

Process X – A Data Space for the Process Industry

Torben Miny, Udo Enste, Felix Buss, Andreas Schueller, Ricard Petranovic, Bjoern Hoeper
article en

Abstract

Abstract The need for improved resilience, increased efficiency in production chains, and the need to raise resource efficiency require more cross‐company information exchange. Data spaces are digital ecosystems, in which companies host their own information within their systems and thus retain sovereignty over the data and its access. The Manufacturing‐X initiative is an industrial policy initiative to develop such a data space; in that context, Process‐X deals with the process industry. Within the Process‐X initiative, a showcase was developed. An exchange of regular steam forecasts enables the energy supplier to adjust the level of confidence to the forecast consumption and thus save primary energy in generation.

Chemie Ingenieur TechnikVol. 97(6)
ABB (Germany) (DE), Bayer (Germany) (DE), RWTH Aachen University (DE)
Openalex Percentile: Top 88%
Business Process Modeling and Analysis
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