Towards Modeling the Structure of Product Dependencies in Supply Networks to Identify Bottlenecks Among Suppliers

Henselmann D, Harth A (2024)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2024

Publisher: CEUR Workshop Proceedings

Conference Proceedings Title: Proceedings of the Third International Workshop on Linked Data-driven Resilience Research (D2R2’24) co-located with European Semantic Web Conference 2024 (ESWC 2024)

Event location: Heraklion GR

URI: https://ceur-ws.org/Vol-3707/D2R224_paper_8.pdf

Open Access Link: https://ceur-ws.org/Vol-3707/D2R224_paper_8.pdf

Abstract

This paper introduces an ontology-based approach to model supply networks aimed at identifying bottlenecks among suppliers. Considering concepts from existing ontologies, we develop a concise ontology to represent the structure of supply networks, focusing on products and their derivational dependencies. We compare our ontology to PRONTO, a heavyweight ontology with a similar scope, demonstrating its reduced complexity while retaining sufficient modeling capabilities. Reduced expressiveness in some product cases due to the abstraction of product variants is a limitation. Further work is needed on network metrics and measures to identify  bottlenecks.

Authors with CRIS profile

Daniel Henselmann Lehrstuhl für Wirtschaftsinformatik, insbesondere Technische Informationssysteme Andreas Harth Lehrstuhl für Wirtschaftsinformatik, insbesondere Technische Informationssysteme

How to cite

APA:

Henselmann, D., & Harth, A. (2024). Towards Modeling the Structure of Product Dependencies in Supply Networks to Identify Bottlenecks Among Suppliers. In Julia Holze, Sebastian Tramp, Michael Martin, Sören Auer, Ricardo Usbeck, Nenad Krdzavac (Eds.), Proceedings of the Third International Workshop on Linked Data-driven Resilience Research (D2R2’24) co-located with European Semantic Web Conference 2024 (ESWC 2024). Heraklion, GR: CEUR Workshop Proceedings.

MLA:

Henselmann, Daniel, and Andreas Harth. "Towards Modeling the Structure of Product Dependencies in Supply Networks to Identify Bottlenecks Among Suppliers." Proceedings of the D2R2’24: Third International Workshop on Linked Data-driven Resilience Research 2024, Heraklion Ed. Julia Holze, Sebastian Tramp, Michael Martin, Sören Auer, Ricardo Usbeck, Nenad Krdzavac, CEUR Workshop Proceedings, 2024.

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