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Simulation Analysis of the Life Cycle of the Tire Industry Cluster Based on the Complex Network

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Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1088))

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Abstract

As a traditional manufacturing industry, the high carbon emissions run through the entire life cycle of the tire products. Taking the radial tire industry as an example, using 205/65/R/15 tire data, the carbon emissions of China’s tire industry were calculated. The empirical results show that the annual CO2 emission of the radial tires produced in China alone is as high as 316 million tons in the entire life cycle, and is concentrated in the use and production stages. Therefore, through improving the performance of the tire products, accelerating the development and production of the low-carbon environmental protection tire products, establishing the industrial symbiosis network, and realizing the low-carbon transformation with low energy consumption, low pollution and low emissions is the inevitable choice for the development of China’s tire industry.

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References

  1. Chen, Hong. 2009. Choice of the industrial cluster development model based on the life cycle theory. Seeker 5: 28–33.

    Google Scholar 

  2. Chen, Yehua, and Ying Wang. 2010. Research on the risk control strategy of the industrial cluster based on the life cycle. Modern Management Science 1: 13–18.

    Google Scholar 

  3. Jing, Huiying. 2012. Study on the life cycle of the industrial clusters based on the ecology theory. Journal of Tianjin Vocational Institute 14 (9): 71–74.

    Google Scholar 

  4. Lihong, Cheng, Helian Xu, and Gang Wu. 2016. Structural characteristic recognition of the trade network of the global construction machinery products based on the complex network theory. Economic Survey 33 (1): 54–59.

    Google Scholar 

  5. Wang, Lijun, and Fengwu Han. 2013. Risk analysis of the industrial cluster based on the complex network. Digital Users 23: 247–252.

    Google Scholar 

  6. Qingyuan, Zhou, and Liu Ranran. 2016. Strategy optimization of resource scheduling based on cluster rendering. Cluster Computing 19 (4): 2109–2117. https://doi.org/10.1007/s10586-016-0655-9.

    Google Scholar 

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Correspondence to Xianghua Li .

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Li, X. (2020). Simulation Analysis of the Life Cycle of the Tire Industry Cluster Based on the Complex Network. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_196

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