Synthesizing Computational Mastery and Industrial Evolution—A Comprehensive Conclusion and Outlook

Mohammad Yazdi ()
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Mohammad Yazdi: Macquarie University

Chapter Chapter 11 in Advances in Computational Mathematics for Industrial System Reliability and Maintainability, 2024, pp 185-190 from Springer

Abstract: Abstract The chapter discusses the significance of computational mathematics in shaping the future of industrial systems, particularly in the context of Industry 4.0. It highlights the integration of advanced technologies such as analytics, machine learning, and artificial intelligence into industrial operations, leading to increased efficiency, precision, and adaptability. Sustainability is emphasized as a critical consideration in a circular economy. The text also explores emerging research areas, such as quantum computing and blockchain, and offers recommendations for industry and academia to embrace computational methodologies. Ultimately, it envisions a collaborative future where computational mathematics empowers innovation and sustainability in industrial systems.

Keywords: Computational mathematics; Industrial systems; Industry 4.0; Advanced technologies; Analytics; Machine learning; Artificial intelligence (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-53514-7_11

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DOI: 10.1007/978-3-031-53514-7_11

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