Co-optimisation of Big Data and Artificial Intelligence in the Manufacturing Industry

Authors

  • Xuye Wang Shenyang Aerospace University, Shenyang, China Author
  • Jiahao Zheng Shenyang Aerospace University, Shenyang, China Author
  • Jixu Xia Shenyang Aerospace University, Shenyang, China Author

Keywords:

Big Data Analytics; Artificial Intelligence; Smart Manufacturing; Real-time Monitoring; Interoperability

Abstract

Co-optimisation of Big Data and Artificial Intelligence in manufacturing is a cutting-edge management and production methodology that integrates large-scale data analytics and intelligent algorithms to achieve efficiency and flexibility in the production process. The approach offers significant benefits to the manufacturing industry in several ways. Firstly, big data technology provides companies with deep insights by capturing, storing and analysing the vast amounts of data generated during the manufacturing process. This data can include the operational status of production lines, the health of equipment, the supply chain of raw materials, and more. By analysing this data, manufacturing companies can better understand the problems and bottlenecks in the production process and make timely decisions to optimise the production process. Second, the application of artificial intelligence makes the manufacturing system more intelligent and adaptive. Intelligent algorithms can automatically adjust production plans, optimise production scheduling, and even carry out predictive maintenance to detect potential equipment failures in advance and reduce downtime based on the results of big data analysis. This intelligent production approach enables manufacturing companies to respond more flexibly to changes in market demand. The key to collaborative optimisation lies in the integration of big data and AI technologies with each other to form a holistic production optimisation system. Such a system enables real-time data analysis and intelligent decision-making, enabling manufacturing processes to be more efficient, sustainable and competitive. Overall, co-optimisation of big data and AI in manufacturing offers more opportunities for companies to help them stand out in a competitive market.

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*******************Cite this Article*******************

APA:

Wang, X., Zheng, J., & Xia, J. (2023). Co-optimisation of big data and artificial intelligence in the manufacturing industry. International Scientific Technical and Economic Research, 2(1), 14–19. http://www.istaer.online/index.php/Home/article/view/No.2402

GB/T 7714-2015:

Wang Xuye, Zheng Jiahao, Xia Jixu. Co-optimisation of big data and artificial intelligence in the manufacturing industry[J]. International Scientific Technical and Economic Research, 2023, 2(1): 14–19. http://www.istaer.online/index.php/Home/article/view/No.2402

MLA:

Wang, Xuye, Jiahao Zheng, and Jixu Xia. "Co-optimisation of big data and artificial intelligence in the manufacturing industry." International Scientific Technical and Economic Research, 2.1 (2023): 14-19. http://www.istaer.online/index.php/Home/article/view/No.2402

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Published

2024-03-28

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Section

Research Article

How to Cite

Co-optimisation of Big Data and Artificial Intelligence in the Manufacturing Industry. (2024). International Scientific Technical and Economic Research , 14-19. https://istaer.online/index.php/Home/article/view/No.2402

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