Artificial Intelligence in Smart Manufacturing: Emerging Opportunities and Prospects

M. M.Manjurul Islam; Jakaria Islam Emon; Kok Yew Ng; Abdoreza Asadpour; M. M.Rafi Al Aziz; Marcia L. Baptista; Jong Myon Kim

doi:10.1007/978-3-031-80154-9_2

Artificial Intelligence in Smart Manufacturing: Emerging Opportunities and Prospects

M. M.Manjurul Islam
, Jakaria Islam Emon
, Kok Yew Ng
, Abdoreza Asadpour
, M. M.Rafi Al Aziz
, Marcia L. Baptista
, Jong Myon Kim

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

7 Citations (Scopus)

Abstract

This chapter presents the significant role of Artificial Intelligence (AI)Artificial Intelligence (AI) in advancing smart manufacturing, emphasizing its potential to improve efficiency, quality, and sustainability. We explore how AI integrates with critical manufacturing processes and supports the transition toIndustry 4.0 Industry 4.0. The discussion includes an in-depth look at essential technologies like machine learning, deep learningDeep learning, big dataBig data analytics, immersive technologies, digital twinsDigital twins, internet of things, and their applications in areas such as predictive maintenancePredictive maintenance, quality control, and supply chainLogistics and supply chain management. Through real-world examples, we demonstrate AI’s effectiveness in enhancing manufacturing operations and discuss opportunities for further technological improvements. Additionally, the chapter identifies challenges manufacturers face, including data security, system integration, and the need for a skilled workforce, offering practical advice on overcoming these obstacles. We not only highlight the advantages of AI in manufacturing but also address the ethical and practical complexities of its broad adoption.

Original language	English
Title of host publication	Springer Series in Advanced Manufacturing
Publisher	Springer Nature
Pages	9-36
Number of pages	28
DOIs	https://doi.org/10.1007/978-3-031-80154-9_2
Publication status	Published (in print/issue) - 6 Mar 2025

Publication series

Name	Springer Series in Advanced Manufacturing
Volume	Part F138
ISSN (Print)	1860-5168
ISSN (Electronic)	2196-1735

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Keywords

Advanced technologies
Human resources and ethics
Industry X.0
Machines and equipment
Manufacturing processes
Smart factory
Smart manufacturing

Access to Document

10.1007/978-3-031-80154-9_2

Cite this

Islam, M. M. M., Emon, J. I., Ng, K. Y., Asadpour, A., Aziz, M. M. R. A., Baptista, M. L., & Kim, J. M. (2025). Artificial Intelligence in Smart Manufacturing: Emerging Opportunities and Prospects. In Springer Series in Advanced Manufacturing (pp. 9-36). (Springer Series in Advanced Manufacturing; Vol. Part F138). Springer Nature. https://doi.org/10.1007/978-3-031-80154-9_2

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abstract = "This chapter presents the significant role of Artificial Intelligence (AI)Artificial Intelligence (AI) in advancing smart manufacturing, emphasizing its potential to improve efficiency, quality, and sustainability. We explore how AI integrates with critical manufacturing processes and supports the transition toIndustry 4.0 Industry 4.0. The discussion includes an in-depth look at essential technologies like machine learning, deep learningDeep learning, big dataBig data analytics, immersive technologies, digital twinsDigital twins, internet of things, and their applications in areas such as predictive maintenancePredictive maintenance, quality control, and supply chainLogistics and supply chain management. Through real-world examples, we demonstrate AI{\textquoteright}s effectiveness in enhancing manufacturing operations and discuss opportunities for further technological improvements. Additionally, the chapter identifies challenges manufacturers face, including data security, system integration, and the need for a skilled workforce, offering practical advice on overcoming these obstacles. We not only highlight the advantages of AI in manufacturing but also address the ethical and practical complexities of its broad adoption.",

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note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.",

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Artificial Intelligence in Smart Manufacturing: Emerging Opportunities and Prospects. / Islam, M. M.Manjurul; Emon, Jakaria Islam; Ng, Kok Yew et al.
Springer Series in Advanced Manufacturing. Springer Nature, 2025. p. 9-36 (Springer Series in Advanced Manufacturing; Vol. Part F138).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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KW - Human resources and ethics

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KW - Machines and equipment

KW - Manufacturing processes

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Artificial Intelligence in Smart Manufacturing: Emerging Opportunities and Prospects

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Bibliographical note

Keywords

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