Resilient Agent-Based Networks in the Automotive Industry

Ana Nogueira, Conceição Rocha () and Pedro Campos ()
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Ana Nogueira: University of Porto, FEP
Conceição Rocha: CPES - INESC TEC
Pedro Campos: University of Porto, FEP, LIAAD-INESC TEC

Chapter Chapter 14 in Machine Learning Perspectives of Agent-Based Models, 2025, pp 341-377 from Springer

Abstract: Abstract The present work is inspired by the aftermarket companies of the automotive industry. The goal is to investigate how companies react to market change, by understanding the effect of a perturbation (such as a business cessation) on the rest of the companies that are interconnected through peer-to-peer relationships. An agent-based model has been developed that simulates a multilayer network involving different types of companies: suppliers, aftermarket companies; retailers and consumers. The effect of the cessation is measured by the resilience of the multilayer network after suffering the perturbation. The multilayer network is inspired in a business model of the automobile industry’s aftermarket and each type of company has some defined characteristics. The agent-based model produces the network dynamics due to the changes in its configuration throughout time. No learning mechanism is introduced in this work. We demonstrate that the number of links, the volume of sales and the total profit of a node in the network has an impact on its survival throughout time.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-73354-3_14

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DOI: 10.1007/978-3-031-73354-3_14

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