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

共 50 条

[41] EFFECTS OF USING PROCESS MAPPING IN AUTOMOTIVE INDUSTRY. A CASE STUDY
Candea, Sebastian
Veres, Cristina
Gabor, Manuela Rozalia
ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND ENGINEERING, 2023, 66 (02): : 229 - 240
[42] Requirements for water assessment tools: An automotive industry perspective
Mueller, Sherry A.
Carlile, Andrew
Bras, Bert
Niemann, Thomas A.
Rokosz, Susan M.
McKenzie, Heidi L.
Kim, H. Chul
Wallington, Timothy J.
WATER RESOURCES AND INDUSTRY, 2015, 9 : 30 - 44
[43] NETWORKS AND TOOLS FOR SUPPLY CHAIN OPTIMIZATION IN AUTOMOTIVE INDUSTRY
Bindzar, Peter
Kacmary, Peter
CARPATHIAN LOGISTICS CONGRESS (CLC' 2016), 2017, : 280 - 286
[44] Proposal of a method for selecting suppliers considering risk management An application at the automotive industry
Cagnin, Fernanda
de Oliveira, Maria Celia
Simon, Alexandre Tadeu
Helleno, Andre Luis
Vendramini, Matheus Phelipe
INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2016, 33 (04) : 488 - 498
[45] Tools with general AI and no existential risk
Kjell Jørgen Hole
AI and Ethics, 2024, 4 (2): : 345 - 352
[46] Flexibility and revenue management in the automotive industry
Voigt, Kai-Ingo
Saatmann, Michael
Schorr, Sascha
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2008, 21 (04) : 424 - +
[47] THE IMPACTS OF REPUTATION MANAGEMENT IN AUTOMOTIVE INDUSTRY
Linek, Barbora
Vodak, Josef
MARKETING IDENTITY: ONLINE RULES, PT I, 2017, : 135 - 142
[48] Dynamic supplier management in the automotive industry
Alaez-Aller, Ricardo
Longas-Garcia, Juan Carlos
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 2010, 30 (3-4) : 312 - 335
[49] RISK MANAGEMENT TOOLS IN THE ROAD TRANSPORTATION INDUSTRY WITH MEDIATION AND MODERATION ANALYSIS
Ersoy, Pervin
Tanyeri, Mustafa
LOGFORUM, 2021, 17 (04) : 555 - 567
[50] Corporate health management in the Automotive Industry
Riemann, J. F.
Mosch, Peter
GASTROENTEROLOGIE, 2023, 18 (05): : 415 - 417

← 1 2 3 4 5 →