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Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming

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The Semantic Web: ESWC 2023 Satellite Events (ESWC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13998))

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Abstract

The automotive industry is constantly facing the challenge of optimizing their suppliers to meet customer demands while keeping costs low. Knowledge graphs have proven to be effective tools for modeling complex supply chains, but their use for optimization is limited. In this paper, we report on our experience at Bosch to use Answer Set Programming (ASP) to optimize component suppliers in the automotive industry based on knowledge graphs. Evaluation on industrial products shows both efficiency and effectiveness of our modeling framework in generating optimal solutions for supply chain management problems.

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Acknowledgement

The work was partially supported by EU projects Dome 4.0 (GA 953163), OntoCommons (GA 958371), DataCloud (GA 101016835), Graph Massiviser (GA 101093202), enRichMyData (GA 101070284), and SMARTEDGE (GA 101092908).

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Authors and Affiliations

  1. Bosch Center for Artificial Intelligence, Renningen, Germany

    Cuong Xuan Chu, Mohamed H. Gad-Elrab, Trung-Kien Tran, Marvin Schiller, Evgeny Kharlamov & Daria Stepanova

Authors
  1. Cuong Xuan Chu
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  2. Mohamed H. Gad-Elrab
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  3. Trung-Kien Tran
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  4. Marvin Schiller
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  5. Evgeny Kharlamov
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  6. Daria Stepanova
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Corresponding author

Correspondence to Cuong Xuan Chu .

Editor information

Editors and Affiliations

  1. University of Lisbon, Lisbon, Portugal

    Catia Pesquita

  2. University of Nantes, Nantes, France

    Hala Skaf-Molli

  3. Foundation for Research and Technology, Heraklion, Greece

    Vasilis Efthymiou

  4. Vienna University of Economics and Business, Vienna, Austria

    Sabrina Kirrane

  5. University of Paderborn, Paderborn, Germany

    Axel Ngonga

  6. Fraunhofer IAIS, Sankt Augustin, Germany

    Diego Collarana

  7. IBM Research, Rio de Janeiro, Brazil

    Renato Cerqueira

  8. Institut Polytechnique de Paris, Palaiseau, France

    Mehwish Alam

  9. Institut de Recherche en Informatique de Toulouse, Toulouse, France

    Cassia Trojahn

  10. University of Mannheim, Mannheim, Germany

    Sven Hertling

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Chu, C.X., Gad-Elrab, M.H., Tran, TK., Schiller, M., Kharlamov, E., Stepanova, D. (2023). Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming. In: Pesquita, C., et al. The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023. Lecture Notes in Computer Science, vol 13998. Springer, Cham. https://doi.org/10.1007/978-3-031-43458-7_38

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  • DOI: https://doi.org/10.1007/978-3-031-43458-7_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43457-0

  • Online ISBN: 978-3-031-43458-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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