Enhancing Supply Chain Safety and Security: A Novel AI-Assisted Supplier Selection Method

József Pap; Csaba Makó; Adrián Horváth; Zoltán Baracskai; Tamás Zelles; Judit Bilinovics-Sipos; Sándor Remsei

doi:10.31181/dmame8120251115

Authors

József Pap Doctoral School of Regional Sciences and Business Administration, Széchenyi University, Győr, Hungary https://orcid.org/0009-0006-6041-3677
Csaba Makó National University of Public Service, Budapest, Hungary https://orcid.org/0000-0002-2597-3103
Adrián Horváth Széchenyi University, Győr, Hungary https://orcid.org/0000-0002-1563-583X
Zoltán Baracskai Széchenyi University, Győr, Hungary https://orcid.org/0000-0002-1450-8484
Tamás Zelles Széchenyi University, Győr, Hungary https://orcid.org/0009-0006-0351-7509
Judit Bilinovics-Sipos Doctoral School of Regional Sciences and Business Administration, Széchenyi University, Győr, Hungary https://orcid.org/0000-0002-1170-2513
Sándor Remsei Széchenyi University, Győr, Hungary https://orcid.org/0000-0001-8862-4544

DOI:

https://doi.org/10.31181/dmame8120251115

Keywords:

Artificial Intelligence, Supplier Selection, Strategic Sourcing, Supply Chain Safety, Knowledge Engineering

Abstract

The "Make or Buy” decision and the supplier selection are critical steps for the efficient operation of companies' supply chains. Safety and security are paramount considerations, especially in industries like logistics, where supply chains are vulnerable to external threats and disruptions. In this scientific article, we present a novel Artificial Intelligence (AI)-assisted supplier selection method that significantly enhances the safety and security of suppliers. During our research project, we have created an expert system and a corresponding knowledge base with the relevant rules to support supply chain decision-makers in selecting logistics service providers for warehousing services. The foundation of the AI-assisted supplier selection method is advanced data analytics and the application of expert systems, enabling companies to evaluate potential suppliers in detail from a safety and security perspective. The applied expert systems can identify potential risks and make predictions about supplier performance in the future. In the turbulent environment of the global supply chain, selecting long-term partners like warehousing services providers is critical for the success of the organization. A wrong supplier selection can hardly be reversed in warehousing services, as the cost of change is usually high. The article demonstrates the practical application of the expert system-assisted supplier selection method in a real-world supply chain environment and thoroughly analyzes the achieved results and advantages. The results show that the expert system-assisted method not only increases supplier safety and security but also contributes to improving the efficiency and sustainability of the supply chain. This article provides valuable guidance and solutions for companies looking to enhance their supplier selection using expert system technologies, thereby increasing the safety and security of their supply chains.

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