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Risk Prevention and Control of Automobile Enterprise Purchasing Parts Supply Management Based on Block Chain Technology

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1343))

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Abstract

In recent years, with the development of science and technology, in order to further explore the world, we explore and study the supply management of automobile enterprise procurement parts based on block chain technology. Based on the reality of China's automobile industry supply chain, combined with the advanced supply chain management theory at home and abroad, this paper makes a comprehensive and systematic analysis of the automobile industry supply chain by combining theoretical research with enterprise cases, and tries to explain in theory, refine the method and structure of the supply chain, and construct the precise supply chain system and fine supply chain of the automobile industry management system and efficiency evaluation system. Based on the analysis of the subjective and objective elements and their interaction in the supply chain, an accurate comprehensive cost model of the supply chain is established. In order to achieve the balance between customer satisfaction and supply chain operation cost, the supply chain structure and operation process are designed in turn. The basic structure of the Bit coin system is designed and realized with the help of block chain technology. It can be said that the basic system of Bit coin is constituted by the block chain. Block chain technology has been considered by professionals to be a very promising technology since its discovery. This article introduces its key technology, composition, basic principles, and limitations, and conducts research on some related issues.

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Correspondence to Yonggang Mao .

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Mao, Y. (2021). Risk Prevention and Control of Automobile Enterprise Purchasing Parts Supply Management Based on Block Chain Technology. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_23

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