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Identification of Factors Influencing Cost and Benefit Aspects of Cross-Company Data Exchange Using the Example of the Steel Industry

  • In the last decade, enterprises realized the high value of data and learned to successfully utilize it for internal processes and business models, and they are trying to find more ways to acquire relevant data. Since enterprises are part of complex networks, the data from their partners and customers can also be beneficial: from adjusting the demand and supply to planning production and aligning capacities. One such example is adaptive process control: detailed material data from a supplier can be used to adjust process parameters in their production. This approach may be especially beneficial for the steel industry, as there is a possibility to adjust the material properties by changing the speed, force, or temperature in their own production processes. However, such an approach requires tight collaboration, e.g., regarding improving IT infrastructure, ensuring data acquisition and transfer and most importantly, the utilization of such data.

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Metadaten
Verfasserangaben:Nikita FjodorovsORCiD, Alan Gütermann, Tobias Wagner
Titel des übergeordneten Werkes (Englisch):Circular Supply Chain for Resillience. The 13th International Conference on Logistics & Transport 2023
Herausgeber*in:Tipavinee Suwanwong Rodbundith
Dokumentart:Konferenzveröffentlichung
Sprache:Englisch
Datum der Veröffentlichung (online):20.12.2023
Datum der Erstveröffentlichung:29.09.2023
Datum der Freischaltung:20.12.2023
Freies Schlagwort / Tag:rev
cost-benefit-analysis; cross-company data exchange; intercompany data exchange; steel industry; supply chain data management
Erste Seite:136
Letzte Seite:144
Bemerkung:
This article was written as part of the research project "Data-based process management along intercompany process chains". The IGF project (No. 21590 N) of the FOSTA e. V. is funded by the Federal Ministry of Economics and Climate Protection via the AiF as part of the program for the promotion of joint industrial research (IGF) on the basis of a resolution of the German Bundestag.
FIR-Nummer:SV7723
Konferenzname:The 13th International Conference on Logistics & Transport 2023
Konferenzort:Helsinki, Finnland
Konferenzzeitraum:27.09.2023-29.09.2023
Institut / Bereiche des FIR:FIR e. V. an der RWTH Aachen
Produktionsmanagement
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften