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 |
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Title of host publication | Springer Series in Advanced Manufacturing |
Publisher | Springer Nature |
Pages | 9-36 |
Number of pages | 28 |
DOIs | |
Publication status | Published (in print/issue) - 6 Mar 2025 |
Publication series
Name | Springer Series in Advanced Manufacturing |
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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