Handbook of smart manufacturing: forecasting the future of industry 4.0
Singh, Ajay H. [Ed.]
Handbook of smart manufacturing: forecasting the future of industry 4.0 - Boca Raton: CRC Press, 2023. - xx, 438p.: ill.; hbk.: 24cm
Includes index
This handbook covers smart manufacturing development, processing, modifications, and applications. It provides a complete understanding of the recent advancements in smart manufacturing through its various enabling manufacturing technologies, and how industries and organizations can find the needed information on how to implement smart manufacturing towards sustainability of manufacturing practices.
Handbook of Smart Manufacturing: Forecasting the Future of Industry 4.0 covers all related advances in manufacturing such as the integration of reverse engineering with smart manufacturing, industrial internet of things (IIoT), and artificial intelligence approaches, including Artificial Neural Network, Markov Decision Process, and Heuristics Methodology. It offers smart manufacturing methods like 4D printing, micro-manufacturing, and processing of smart materials to assist the biomedical industries in the fabrication of human prostheses and implants. The handbook goes on to discuss how to accurately predict the requirements, identify errors, and make innovation for the manufacturing process more manageable by implementing various advanced technologies and solutions into the traditional manufacturing process. Strategies and algorithms used to incorporate smart manufacturing into different sectors are also highlighted within the handbook.
This handbook is an invaluable resource for stakeholders, industries, professionals, technocrats, academics, research scholars, senior graduate students, and human healthcare professionals.
https://www.routledge.com/Handbook-of-Smart-Manufacturing-Forecasting-the-Future-of-Industry-40/Ajay-Singh-Kumar-AlMangour/p/book/9781032363431
9781032363431
Automation
Machine Learning - Design
Robotics
Data Preparation & Mining
Intelligent Systems
Manufacturing & Processing
Electrical & Electronic Engineering
670.427 SIN
Handbook of smart manufacturing: forecasting the future of industry 4.0 - Boca Raton: CRC Press, 2023. - xx, 438p.: ill.; hbk.: 24cm
Includes index
This handbook covers smart manufacturing development, processing, modifications, and applications. It provides a complete understanding of the recent advancements in smart manufacturing through its various enabling manufacturing technologies, and how industries and organizations can find the needed information on how to implement smart manufacturing towards sustainability of manufacturing practices.
Handbook of Smart Manufacturing: Forecasting the Future of Industry 4.0 covers all related advances in manufacturing such as the integration of reverse engineering with smart manufacturing, industrial internet of things (IIoT), and artificial intelligence approaches, including Artificial Neural Network, Markov Decision Process, and Heuristics Methodology. It offers smart manufacturing methods like 4D printing, micro-manufacturing, and processing of smart materials to assist the biomedical industries in the fabrication of human prostheses and implants. The handbook goes on to discuss how to accurately predict the requirements, identify errors, and make innovation for the manufacturing process more manageable by implementing various advanced technologies and solutions into the traditional manufacturing process. Strategies and algorithms used to incorporate smart manufacturing into different sectors are also highlighted within the handbook.
This handbook is an invaluable resource for stakeholders, industries, professionals, technocrats, academics, research scholars, senior graduate students, and human healthcare professionals.
https://www.routledge.com/Handbook-of-Smart-Manufacturing-Forecasting-the-Future-of-Industry-40/Ajay-Singh-Kumar-AlMangour/p/book/9781032363431
9781032363431
Automation
Machine Learning - Design
Robotics
Data Preparation & Mining
Intelligent Systems
Manufacturing & Processing
Electrical & Electronic Engineering
670.427 SIN
