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Machine Learning for Sustainable Manufacturing in Industry 4.0

Concept, Concerns and Applications

Machine Learning for Sustainable Manufacturing in Industry 4.0
Machine Learning for Sustainable Manufacturing in Industry 4.0

Machine Learning for Sustainable Manufacturing in Industry 4.0

Concept, Concerns and Applications

Hardback / bound | English
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Description

The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods.



Raman Kumar is presently working as an assistant professor, in the department of mechanical and production Engineering, Guru Nanak Dev Engineering College, Punjab, India. He has five years of industry, and sixteen of teaching and research experience. His areas of interest are sustainable manufacturing, energy-efficient machining, optimization of processes, and multi-criteria decision-making. He has taught courses including the strength of materials, machining sciences, manufacturing processes, operation research, industrial automation, and robotics. He has more than sixty research publications in national and international conferences and journals of repute.

Sita Rani is currently working as a professor, at the department of computer science engineering, at Gulzar Group of Institutions, Punjab, India. Her research interests are parallel and distributed computing, artificial intelligence, machine learning, bioinformatics, and the Internet of Things (IoT). She has published articles in renowned journals and conference proceedings and has more than thirty publications. She is an active member of ISTE and IEEE.

Sehijpal Singh is working as a principal, at Guru Nanak Dev Engineering College, Ludhiana, Punjab, India. He has twenty-six years of teaching as well as research experience. His areas of interest are non-conventional machining processes, energy-efficient machining, optimization of manufacturing processes, and decision-making. He has taught subjects like non-conventional machining, metal machining, and manufacturing processes. He has two patents, four books, and more than a hundred research publications in National and International journals of repute, publications appearing in the Journal of Cleaner Production, Materials and Manufacturing Processes, International Journal of Machine Tools and Manufacture, Journal of materials processing technology, and The International Journal of Advanced Manufacturing Technology.

Specifications

  • Publisher
    CRC Press
  • Pub date
    Nov 2023
  • Pages
    234
  • Theme
    Environmental science, engineering and technology
  • Dimensions
    234 x 156 mm
  • Weight
    621 gram
  • EAN
    9781032393056
  • Hardback / bound
    Hardback / bound
  • Language
    English

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