Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Intelligent Manufacturing Components, Challenges, and Opportunities Description An account of the resource Intelligent Manufacturing shows transformative paradigms in the manufacturing industry; leveraging advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and robotics, to develop highly automated and adaptive production systems. This chapter outlines the Intelligent Manufacturing process, including its key principles, components, challenges, and opportunities. The combination of Machine Learning (ML) techniques and AI enables decision-making, real-time optimisation, and predictive analytics of manufacturing processes, productivity, and quality of products. Robotics and IoT devices play critical roles in enabling automation, data collection, and connectivity within Intelligent Manufacturing environments. Additionally, Digital Twin technology facilitates virtual simulation, modelling, and optimisation of production systems. While Intelligent Manufacturing offers significant benefits, it also presents challenges viz. high investments, integration complexity, and workforce reskilling requirements. Overcoming the challenges requires a holistic approach involving collaboration between industry stakeholders, government agencies, academia, and technology providers. Overall, Intelligent Manufacturing represents a promising future for the manufacturing industry, offering opportunities for innovation, competitiveness, and sustainable growth in a rapidly evolving global economy. 2025 selection and editorial matter, Alka Chaudhary, Vandana Sharma, and Ahmed Alkhayyat individual chapters, the contributors. Creator An entity primarily responsible for making the resource Gautam R.; Kaur P.; Sharma M.; Chaudhary A.; Sharma V. Source A related resource from which the described resource is derived Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities, pp. 1-18. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781032630748-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032630748-1</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209984434&amp;doi=10.1201%2F9781032630748-1&amp;partnerID=40&amp;md5=3718c9fbd8fbdf1b3f7c94ecd08ed85a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209984434&amp;doi=10.1201%2f9781032630748-1&amp;partnerID=40&amp;md5=3718c9fbd8fbdf1b3f7c94ecd08ed85a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104015445-8; 978-103262761-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gautam R., Computer Science &amp; Applications, Amity University, Uttar Pradesh, Noida, India; Kaur P., Computer Science &amp; Applications, AIMT, Ambala, India; Sharma M., Computer Science &amp; Application, DAV University, Jalandhar, India; Chaudhary A.; Sharma V., CHRIST (Deemed to be University), NCR, Delhi, India