Privacy-Aware Supply Chain Ratings
- The establishment, expansion, and operation of reliable value-creation networks present an increasing challenge for manufacturing companies, given the growing volatility of the market environment in which they operate. For example, the development of new business areas, mass customization, or the disruption of supply chains frequently necessitates the establishment of partnerships with new suppliers, both short- and long-term. The utilization of supplier key performance indicators (KPIs) can facilitate the selection of new business partners, as they provide a quick and objective indication of their reliability. Nevertheless, access to potentially sensitive KPIs, such as a supplier's on-time delivery performance, is currently mainly limited to existing supplier relationships and not made available to other companies. This paper presents a coordinated approach for supplier rating systems, thereby enabling the privacy-aware exchange of supplier KPIs across organizations and exemplifies it using an application in the “Internet of Production”. Specifically, we conduct interdisciplinary research by formulating the requirements from a business perspective (supply chain design, trust in data sharing, and business models) and evaluating promising solutions from a technical perspective (information security, data quality, data sovereignty, and collaboration). This approach enables the combination of state-of-the-art technology with the evolving requirements of stakeholders, thus creating new paths for exploiting inter-organizational supply chain rating.
| Author: | Stefanie BerningerORCiD, Soo-Yon KimORCiD, Joana PielORCiD, Martin PerauORCiD, Sandra GeislerORCiD, Frank PillerORCiD, Klaus WehrleORCiD, Jan PennekampORCiD |
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| DOI: | https://doi.org/10.15488/18879 |
| Parent Title (English): | Proceedings of the 7th Conference on Production Systems and Logistics: CPSL 2025 |
| Subtitle (English): | Interdisciplinary Research On Collaborative Supply Chain Management |
| Publisher: | publish.Ing |
| Place of publication: | Hannover |
| Editor: | David Herberger, Marco Hübner |
| Document Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2025/05/13 |
| Date of first Publication: | 2025/05/07 |
| Release Date: | 2025/05/13 |
| Tag: | 02 Collaboration; Data sharing; Internet of Production; IoP; Privacy awareness; SCM |
| GND Keyword: | Supply Chain ManagementGND |
| First Page: | 343 |
| Last Page: | 354 |
| Note: | Acknowledgements: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2023 Internet of Production – 390621612. |
| Name of the conference: | 7th Conference on Production Systems and Logistics |
| place of the conference: | University of San Ignacio de Loyola, Lima, Peru |
| Date of the conference: | 18.03.2025-21.03.2025 |
| Institute / Department: | FIR e. V. an der RWTH Aachen |
| Produktionsmanagement | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
| Licence (German): | Creative Commons – CC BY 3.0 DE – Namensnennung 3.0 Deutschland |


