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              <text>Use Cases of Intelligent Manufacturing</text>
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              <text>In the sphere of manufacturing, the adoption of Intelligent Manufacturing (IM) has become crucial for maintaining competitiveness and efficiency. This abstract chapter explores the paradigms and progression of IM, tracing the evolution from Industry 1.0 to Industry 5.0. It highlights the significance of digital manufacturing and the Internet of Things in enhancing connectivity. The chapter demonstrates the importance of IM through its diverse applications, including supply chain management, logistics, and warehouse automation. The authors examine the transformative influence of artificial intelligence on order management, predictive maintenance, and the creation of virtual twins. Real-world examples, such as GEs utilization of AI to accelerate product design and Toyotas partnership with Invisible AI for optimizing production quality control, illustrate the practical advantages of IM in driving innovation and operational efficiency. This chapter provides a comprehensive overview of the various aspects of IM, highlighting its current and future impact on the manufacturing sector.  2025 selection and editorial matter, Alka Chaudhary, Vandana Sharma, and Ahmed Alkhayyat individual chapters, the contributors.</text>
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              <text>Goel S.; Chaudhary A.; Sharma V.</text>
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              <text>Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities, pp. 196-216.</text>
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              <text>&lt;a href="https://doi.org/10.1201/9781032630748-10" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781032630748-10&lt;/a&gt;
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              <text>ISBN: 978-104015445-8; 978-103262761-8</text>
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              <text>Goel S., Amity University, Utter Pradesh, Noida, India; Chaudhary A.; Sharma V., CHRIST (Deemed to be University), NCR, Delhi, India</text>
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