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Intelligent Production Logistics System Based on Internet of Things

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1117))

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Abstract

Internet of things technology is the basis of transformation and upgrading of manufacturing industry and it is also the basis of realization of intelligent manufacturing. The introduction of Internet of things technology in the production workshop can promote the transformation of manufacturing and logistics business models, as well as collaborative production scheduling and logistics scheduling. This paper discusses the goal setting of intelligent workshop production logistics system, the structure of intelligent workshop production logistics system and the key technologies to be solved in constructing intelligent workshop production logistics system. On this basis, the paper analyzes the characteristics of production logistics of tire enterprises, puts forward the train of thought of constructing intelligent production logistics system in rubber refining workshop, component workshop, molding workshop and vulcanization workshop of tire enterprises, and finally analyzes the expected effect. Intelligent workshop production logistics system can realize the integration of intelligent manufacturing and intelligent logistics, improve the production efficiency and logistics efficiency of manufacturing enterprises.

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Acknowledgements

This research was supported by science and technology planning research of Qingdao Binhai University, design and application of automatic material handling system in tire enterprises, Project NO.: 2019KY03,2018/11/22

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Authors and Affiliations

  1. Qingdao Binhai University, Qingdao, 266555, Shandong, China

    Haiqin Wang, Guangqiu Lu & Jiahui Liu

Authors
  1. Haiqin Wang
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  2. Guangqiu Lu
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  3. Jiahui Liu
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Corresponding author

Correspondence to Haiqin Wang .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  2. University of Aizu, Fukushima, Japan

    Neil Yen

  3. Shanghai University, Shanghai, China

    Zheng Xu

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Wang, H., Lu, G., Liu, J. (2020). Intelligent Production Logistics System Based on Internet of Things. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing, vol 1117. Springer, Singapore. https://doi.org/10.1007/978-981-15-2568-1_43

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