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) 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 to Industry 4.0. The discussion includes an in-depth look at essential technologies like machine learning, deep learning, big data analytics, immersive technologies, digital twins, internet of things, and their applications in areas such as predictive maintenance, quality control, 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	Artificial Intelligence for Smart Manufacturing and Industry X.0
Editors	M. M. Manjurul Islam, Márcia L. Baptista, Faisal Tariq
Place of Publication	Gewerbestrasse, Cham, Switzerland
Publisher	Springer
Pages	9-36
Number of pages	28
ISBN (Electronic)	978-3-031-80154-9
ISBN (Print)	978-3-031-80153-2
DOIs	https://doi.org/10.1007/978-3-031-80154-9_2
Publication status	Published - 6 Mar 2025

Publication series

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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 M. M. M. Islam, M. L. Baptista, & F. Tariq (Eds.), Artificial Intelligence for Smart Manufacturing and Industry X.0 (pp. 9-36). (Springer Series in Advanced Manufacturing). Springer. https://doi.org/10.1007/978-3-031-80154-9_2

Islam, M. M. Manjurul ; Emon, Jakaria Islam ; Ng, Kok Yew et al. / Artificial Intelligence in Smart Manufacturing : Emerging Opportunities and Prospects. Artificial Intelligence for Smart Manufacturing and Industry X.0. editor / M. M. Manjurul Islam ; Márcia L. Baptista ; Faisal Tariq. Gewerbestrasse, Cham, Switzerland : Springer, 2025. pp. 9-36 (Springer Series in Advanced Manufacturing).

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abstract = "This chapter presents the significant role of 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 to Industry 4.0. The discussion includes an in-depth look at essential technologies like machine learning, deep learning, big data analytics, immersive technologies, digital twins, internet of things, and their applications in areas such as predictive maintenance, quality control, 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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author = "Islam, \{M. M. Manjurul\} and Emon, \{Jakaria Islam\} and Ng, \{Kok Yew\} and Abdoreza Asadpour and Aziz, \{M. M. Rafi Al\} and Baptista, \{Marcia L.\} and Jong-Myon Kim",

note = "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 M. M. M. Islam, M. L. Baptista, \& F. Tariq (Eds.), Artificial Intelligence for Smart Manufacturing and Industry X.0 (pp. 9-36). (Springer Series in Advanced Manufacturing). Springer. https://doi.org/10.1007/978-3-031-80154-9\_2",

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Islam, MMM, Emon, JI, Ng, KY, Asadpour, A, Aziz, MMRA, Baptista, ML & Kim, J-M 2025, Artificial Intelligence in Smart Manufacturing: Emerging Opportunities and Prospects. in MMM Islam, ML Baptista & F Tariq (eds), Artificial Intelligence for Smart Manufacturing and Industry X.0. Springer Series in Advanced Manufacturing, Springer, Gewerbestrasse, Cham, Switzerland, pp. 9-36. https://doi.org/10.1007/978-3-031-80154-9_2

Artificial Intelligence in Smart Manufacturing: Emerging Opportunities and Prospects. / Islam, M. M. Manjurul; Emon, Jakaria Islam; Ng, Kok Yew et al.
Artificial Intelligence for Smart Manufacturing and Industry X.0. ed. / M. M. Manjurul Islam; Márcia L. Baptista; Faisal Tariq. Gewerbestrasse, Cham, Switzerland: Springer, 2025. p. 9-36 (Springer Series in Advanced Manufacturing).

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

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AU - Aziz, M. M. Rafi Al

AU - Baptista, Marcia L.

AU - Kim, Jong-Myon

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PY - 2025/3/6

Y1 - 2025/3/6

N2 - This chapter presents the significant role of 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 to Industry 4.0. The discussion includes an in-depth look at essential technologies like machine learning, deep learning, big data analytics, immersive technologies, digital twins, internet of things, and their applications in areas such as predictive maintenance, quality control, 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.

AB - This chapter presents the significant role of 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 to Industry 4.0. The discussion includes an in-depth look at essential technologies like machine learning, deep learning, big data analytics, immersive technologies, digital twins, internet of things, and their applications in areas such as predictive maintenance, quality control, 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.

KW - Advanced technologies

KW - Human resources and ethics

KW - Industry X.0

KW - Machines and equipment

KW - Manufacturing processes

KW - Smart factory

KW - Smart manufacturing

UR - https://www.scopus.com/pages/publications/105000430230

U2 - 10.1007/978-3-031-80154-9_2

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

M3 - Chapter

SN - 978-3-031-80153-2

T3 - Springer Series in Advanced Manufacturing

SP - 9

EP - 36

BT - Artificial Intelligence for Smart Manufacturing and Industry X.0

A2 - Islam, M. M. Manjurul

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A2 - Tariq, Faisal

PB - Springer

CY - Gewerbestrasse, Cham, Switzerland

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Islam MMM, Emon JI, Ng KY, Asadpour A, Aziz MMRA, Baptista ML et al. Artificial Intelligence in Smart Manufacturing: Emerging Opportunities and Prospects. In Islam MMM, Baptista ML, Tariq F, editors, Artificial Intelligence for Smart Manufacturing and Industry X.0. Gewerbestrasse, Cham, Switzerland: Springer. 2025. p. 9-36. (Springer Series in Advanced Manufacturing). doi: 10.1007/978-3-031-80154-9_2