rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Intelligent manufacturing and industry 4.0
    sub title: impact, trends, and opportunities
  name:
    name part: Chaudhary, Alka
    role:
      role term: editor.
  name:
    name part: Sharma, Vandana
    name part: Dr
    role:
      role term: editor.
  name:
    name part: Alkhayyat, Ahmed
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2025
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xi, 239 pages) : illustrations (some color).
  abstract: The use of intelligence in manufacturing has emerged as a fascinating subject for academics and businesses everywhere. This book focuses on various manufacturing operations and services which are provided to customers to achieve greater manufacturing flexibility, as well as widespread customization and improved quality with the help of advanced and smart technologies. It describes cyber-physical systems and the whole product life cycle along with a variety of smart sensors, adaptive decision models, high-end materials, smart devices, and data analytics. Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities focuses on Intelligent Manufacturing and the design of smart devices and products that meet the demand of Industry 4.0, manufacturing and cyber-physical systems, along with real-time data analytics for Intelligent Manufacturing. The usage of advanced smart and sensing technologies in Intelligent Manufacturing for healthcare solutions is discussed as well. Popular use cases and case studies related to Intelligent Manufacturing are addressed to provide a better understanding of this topic. This publication is ideally designed for use by technology development practitioners, academicians, data scientists, industry professionals, researchers, and students interested in uncovering the latest innovations in the field of Intelligent Manufacturing. Features: Presents cutting-edge manufacturing technologies and information to maximise product exchanges and production Discusses the improvement in service quality, product quality, and production effectiveness Conveys how a manufacturing company's competitiveness can increase if it can manage the turbulence and changes in the global market Presents how intelligence production is essential in Industry 4.0 and how Industry 4.0 offers greater manufacturing flexibility, as well as widespread customisation, improved quality, and increased productivity Covers the ways businesses handle the challenges of gene…
  note: edited by Alka Chaudhary, Vandana Sharma, and Ahmed Alkhayyat.
  note: Includes bibliographical references and index.
  note: Alka Chaudhary received her Ph.D. (Computer Science and Engineering) from Manipal University Jaipur, Rajasthan in 2016. She has completed her M. Tech. (CSE) from Jagannath University Jaipur, Rajasthan. She has joined Amity Institute of Information Technology (AIIT), Amity University Noida, Uttar Pradesh in August 2019 and working as Assistant Professor Grade-III. She is also working as Head of the AUN IoT and Sensor Network Research Lab at AIIT. Her research interests include Security of Wireless Networks, IoT, Artificial Intelligence, and Soft Computing Techniques. She has published more than 50 research papers in international journals and conferences Indexed in Scopus and SCIE. She has filed 11 patents and 1 copyright in the field of AI and IoT. She received a young scientist award from VDGOOD Professional Association in 2021. She has completed many certification courses from CISCO NetAcad and working as a Cisco Instructor. Currently, she is guiding four research scholars. She is a member of ACM, ACM-W, IAENG, and the Internet Society. She acts as a reviewer for many journals such as IEEE Access, Ad hoc Networks Elsevier, and NETNOMICS Springer. Vandana Sharma is an Associate Professor at Amity Institute of Information Technology, Amity University Noida Campus, India. She is an honorary Adjunct Professor and Senior Fellow of the Scientific Innovation Research Group (SIRG) at Beni Suef University, Egypt. Dr. Sharma has served NAAC-accredited A++ institutions like Guru Gobind Singh Indraprastha University, Delhi, and Galgotias University, Greater Noida Campus. Dr. Sharma has 14+ years of teaching experience at the postgraduate level and has guided 100+ student dissertations. She obtained her doctoral, M.Tech, and B.E-Com degrees from Guru Gobind Singh Indraprastha University, a Delhi state university. She is a Senior Member of IEEE and as a keen researcher, she has published 40+ research papers in SCI and Scopus Indexed international journals and conferences. Dr. S…
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  subject:
    topic: Materials science
  subject:
    topic: Intelligence artificielle
    topic: Applications industrielles
  subject:
    topic: Science des matériaux
  classification: TA347.A78 I548 2025
  classification: 670.285/63
  related item:
    title info:
      title: Intelligent manufacturing and industrial engineering
  identifier: 9781040154472
  identifier: 1040154476
  identifier: 9781032630748
  identifier: 1032630744
  identifier: 9781040154458
  identifier: 104015445X
  identifier: 9781032630748 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 241017
    record change date: 20250103165314.8
    record identifier: in00005611499
    language of cataloging:
      language term: eng