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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.

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Metadaten
Author:Stefanie BerningerORCiD, Soo-Yon KimORCiD, Joana PielORCiD, Martin PerauORCiD, Sandra GeislerORCiD, Frank PillerORCiD, Klaus WehrleORCiD, Jan PennekampORCiD
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):License LogoCreative Commons – CC BY 3.0 DE – Namensnennung 3.0 Deutschland