Probability-based Vendor Selection Model for the Hungarian Automotive Supply Network

Authors

  • Ákos Dömötörfi
    Affiliation

    Logistics Society, Veszprém Academic Commission, Hungarian Academy of Sciences, Vár utca 37., H-8200 Veszprém, Hungary

  • Zoltán András Nagy
    Affiliation

    Department of Logistics and Forwarding, Audi Hungaria Faculty of Automotive Engineering, Széchenyi István University, Egyetem tér 1., H-9026 Győr, Hungary

  • István Árpád Harmati
    Affiliation

    Department of Mathematics and Computational Sciences, Faculty of Mechanical Engineering, Informatics and Electrical Engineering, Széchenyi István University, Egyetem tér 1., H-9026 Győr, Hungary

https://doi.org/10.3311/PPtr.17966

Abstract

The aim of this paper is to investigate the structure of the Hungarian automotive supply network and provide a possible solution that mathematically describes the connections between the interested parties. In the study an approximate model is introduced to determine the links between hubs (car manufacturers), nodes (Tier1 suppliers) and edges, combining probability random graph and scale free network theory. During the simulation some main drivers were applied for selection purposes, such as location, turnover, product profile. As a result of the study a potential tool has been designed to support decision-making.

Keywords:

automotive, supply network, probability, scale-free networks, random graphs

Published Online

2022-03-01

How to Cite

Dömötörfi, Ákos, Nagy, Z. A., Harmati, I. Árpád (2022) “Probability-based Vendor Selection Model for the Hungarian Automotive Supply Network”, Periodica Polytechnica Transportation Engineering, 50(2), pp. 216–222. https://doi.org/10.3311/PPtr.17966

Issue

Section

Articles