Intelligent Manufacturing Components, Challenges, and Opportunities
- Title
- Intelligent Manufacturing Components, Challenges, and Opportunities
- Creator
- Gautam R.; Kaur P.; Sharma M.; Chaudhary A.; Sharma V.
- Description
- 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.
- Source
- Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities, pp. 1-18.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- Gautam R., Computer Science & Applications, Amity University, Uttar Pradesh, Noida, India; Kaur P., Computer Science & Applications, AIMT, Ambala, India; Sharma M., Computer Science & Application, DAV University, Jalandhar, India; Chaudhary A.; Sharma V., CHRIST (Deemed to be University), NCR, Delhi, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-104015445-8; 978-103262761-8
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Gautam R.; Kaur P.; Sharma M.; Chaudhary A.; Sharma V., “Intelligent Manufacturing Components, Challenges, and Opportunities,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/17916.