Open Access Paper
11 September 2023 Risk index evaluation algorithm of intelligent networked vehicle supply chain based on big data analysis
Fan Zhang, Bingjie Liu, Shunkai Wang
Author Affiliations +
Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 127791Z (2023) https://doi.org/10.1117/12.2688719
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
Intelligent network connected vehicle is an important development direction of cutting-edge science and technology, which has a significant impact on intelligent transportation, modern logistics and other aspects. The environment awareness system is the foundation and guarantee of the safety and intelligence of the intelligent network connected vehicle. The application of intelligent and automatic driving technology to automobiles has become an inevitable trend in the future development of automobile industry. The complexity of the product structure and application technology of Intelligent and Connected Vehicle (ICV) has brought great changes to the industrial ecological chain, which also determines the potential high risk of its Supply Chain (SC). Taking the automobile industry as the research object, this paper identifies the SC risks in the development of new products in the automobile industry. After screening and combining with the characteristics of the automobile industry SC, the SC risks in the development of new products are classified into six categories: supply risk, manufacturing process risk, demand risk, cooperative relationship risk, logistics and distribution risk and external environmental risk. This paper aims to provide theoretical methods and strategic support for the risk management of automobile green SC and promote the sustainable development of automobile green SC in China.
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Fan Zhang, Bingjie Liu, and Shunkai Wang "Risk index evaluation algorithm of intelligent networked vehicle supply chain based on big data analysis", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 127791Z (11 September 2023); https://doi.org/10.1117/12.2688719
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KEYWORDS
Industry

Manufacturing

Risk assessment

Education and training

Intelligence systems

Data analysis

Industrial applications

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