TY  - CONF
A1  - Fjodorovs, Nikita
A1  - Gütermann, Alan
A1  - Wagner, Tobias
A2  - Suwanwong Rodbundith, Tipavinee
T1  - Identification of Factors Influencing Cost and Benefit Aspects of Cross-Company Data Exchange Using the Example of the Steel Industry
T2  - Circular Supply Chain for Resillience. The 13th International Conference on Logistics & Transport 2023
N2  - 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.
KW  - cross-company data exchange
KW  - intercompany data exchange
KW  - supply chain data management
KW  - cost-benefit-analysis
KW  - steel industry
KW  - rev
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/3315
N1  - 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.
SP  - 136
EP  - 144
ER  -