Scholarlink

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.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Artificial Intelligence in Smart Manufacturing: Emerging Opportunities and Prospects

  • 章节

  • 发表日期：

    2025年

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

摘要

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.