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

被引：0

作者：

Domotorfi A. ^{[1
]}

Nagy Z.A. ^{[2
]}

Harmati I.A. ^{[3
]}

机构：

[1] Logistics Society, Veszprem Academic Commission, Hungarian Academy of Sciences, Varutca 37., Veszprem

[2] Department of Logistics and Forwarding, Audi Hungaria Faculty of Automotive Engineering, Szechenyi Istvan University, Egyetemter 1., Gyor

[3] Department of Mathematics and Computational Sciences, Faculty of Mechanical Engineering, Informatics and Electrical Engineering, Szechenyi Istvan University, Egyetemter 1., Gyor

来源：

Periodica Polytechnica Transportation Engineering | 2022年 / 50卷 / 02期

关键词：

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

D O I：

10.3311/PPtr.17966

中图分类号：

学科分类号：

摘要：

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. © 2022 Budapest University of Technology and Economics. All rights reserved.

引用

页码：216 / 222

页数：6

共 16 条

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