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: Industry 4.0 for manufacturing systems
    sub title: concepts, technologies, and applications
  name:
    name part: Wankhede, Vishal Ashok
    role:
      role term: editor
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Vimal, K. E. K.
    role:
      role term: editor
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Sahlot, Pankaj
    role:
      role term: editor
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  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.
  abstract: "The text highlights the importance of intelligent decision-making in advanced production systems, and optimization of process parameters using fuzzy-based multi-criteria decision-making tools. It discusses the decision-making aspects of Industry 4.0 using machine learning and optimization techniques and helps in moving towards the digitalization of manufacturing systems. It further covers several important topics including the role of digital twins in advanced manufacturing processes, machine learning-based prediction of overall equipment effectiveness, intelligent quality control tools, and life cycle assessment models in Industry 4.0. Key Features: Presents a conceptual framework to measure the readiness of adopting Industry 4.0 in advanced manufacturing systems. Discusses the impact of smart manufacturing on sustainable development and integration of Industry 4.0 and additive manufacturing. Covers topics such as intelligent automation systems, machine learning-based preventive maintenance, and the Internet of Things-enabled additive manufacturing in Industry 4.0. Explains cyber-physical system integration with Industry 4.0 technologies, cyber-physical systems in industrial robotics, and green cyber-physical systems. Illustrates optimization of process parameters using fuzzy-based multi-criteria decision-making tools and life cycle assessment models in Industry 4.0. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, supply chain management, and manufacturing engineering"-- Provided by publisher.
  table of contents: Industry 4.0 : transforming communication, sustainability, and collaboration in manufacturing / Sanjay Kaushal -- Research issues in Industry 4.0 / Priyanka B Gaikwad and Vishal Ashok Wankhede.
  note: edited by Vishal Ashok Wankhede, Vimal K.E.K and Pankaj Sahlot.
  note: Includes bibliographical references and index.
  subject:
    topic: Manufacturing processes
    topic: Automation
  subject:
    topic: Industry 4.0
  subject:
    topic: Machine learning
    topic: Industrial applications
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  subject:
    topic: Manufacturing processes
  subject:
    topic: Industrie 4.0
  subject:
    topic: Fabrication
  subject:
    topic: Fabrication
    topic: Automatisation
  subject:
    topic: Apprentissage automatique
    topic: Applications industrielles
  subject:
    topic: Intelligence artificielle
    topic: Applications industrielles
  subject:
    topic: manufacturing
  classification: TS183
  classification: 006.3/1
  related item:
    title info:
      title: Industrial engineering, systems, and management series
  related item:
    title info:
      title: Industry 4.0 for manufacturing systems
    origin info:
      publisher: Boca Raton : CRC Press, 2025
      edition: First edition.
    identifier: (DLC) 2024051291
  identifier: 9781003470861
  identifier: 1003470866
  identifier: 9781032744520
  identifier: 9781032747828
  identifier: 9781040333754
  identifier: 1040333753
  identifier: 9781040333723
  identifier: 1040333729
  identifier: 1032744529
  identifier: 2024051292
  identifier: 9781003470861 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 250320
    record change date: 20250520172639.5
    record identifier: in00005645268
    language of cataloging:
      language term: eng