Proceedings of ICLT 2023
IDENTIFICATION OF FACTORS INFLUENCING COST AND BENEFIT ASPECTS OF CROSS-COMPANY DATA EXCHANGE USING THE EXAMPLE OF THE STEEL INDUSTRY
Nikita Fjodorovs; Alan Gütermann; Tobias Wagne
Institute for Industrial Management (FIR) at RWTH Aachen University, Germany; Institute for Industrial Management (FIR) at RWTH Aachen University, Germany; Institute for Industrial Management (FIR) at RWTH Aachen University, Germany
International Conference on Logistics & Transport 2023, Helsinki, Finland, pp. 145-153
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Abstract
Purpose: 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. Approach: First, through literature research potential cost and benefit aspects regarding data exchange were identified. Second, conditions for the influence factors were defined. This determines which (qualitative) characteristics they must fulfil in order to be considered as such. On the one hand, there should be minimal overlaps of influence between the factors, and, on the other hand, the influencing factors should have a direct impact on the cost and benefit aspects. Finally, a qualitative analysis was conducted to determine the characteristics of the cost and benefit aspects under the influence of the factors. Findings: 18 cost aspects in 6 categories as well as 14 benefit aspects in 3 categories were identified. 7 influence factors in 3 dimensions (strategy, technology, product) were determined. Additionally, an analysis, how each factor influences the cost and benefit aspects (only major influences will be described due to the page limit) Originality/value: Cost-benefit-analysis is only useful on a specific use
Keywords
Cross-company data exchange; intercompany data exchange; supply chain data management; cost-benefit-analysis; steel industry
Citation
Nikita Fjodorovs; Alan Gütermann; Tobias Wagne (2023). IDENTIFICATION OF FACTORS INFLUENCING COST AND BENEFIT ASPECTS OF CROSS-COMPANY DATA EXCHANGE USING THE EXAMPLE OF THE STEEL INDUSTRY. Proceedings of the International Conference on Logistics & Transport (ICLT 2023), Helsinki, Finland, pp. 145-153.