Using AI Tools to Enhance the Risk Management Process in the Automotive Industry

被引：0

作者：

Dragomir, Diana ^{[1
]}

Popister, Florin ^{[1
]}

Kabak, Kamil Erkan ^{[2
]}

机构：

[1] Tech Univ Cluj Napoca, Cluj Napoca, Romania

[2] Izmir Univ Econ, Izmir, Turkiye

来源：

ADVANCES IN MANUFACTURING IV, VOL 2, MANUFACTURING 2024 | 2024年

关键词：

artificial intelligence; risk management; automotive industry;

D O I：

10.1007/978-3-031-56444-4_15

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The paper presents an exploratory investigation concerning the usage of AI tools in automotive companies in order to streamline their risk management processes. A risk identification procedure is performed at organizational and process levels, and a comparative analysis is undertaken between the classical approach for developing proper mitigation measures and the AI-supported manner of doing the same. Some of the most popular tools in this field are employed and studied, such as large language models, data analytics and knowledge representation. The differences and changes are analyzed from the point of view of their effectiveness, efficiency and adaptability within the existing manufacturing frameworks in the automotive industry.

引用

页码：189 / 198

页数：10

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