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ZENODO
Conference object . 2024
License: CC BY
Data sources: ZENODO
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ZENODO
Other literature type . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2023
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 01 Jan 2023Publisher:Zenodo
Authors: Tran, Kien;

doi: 10.5281/zenodo.10708463 , 10.5281/zenodo.14341996 , 10.5281/zenodo.14341997 , 10.5281/zenodo.10708462

Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming

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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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green