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Optimization of manufacturing systems using the Internet of Things /

Optimization of Manufacturing Systems Using the Internet of Things extends the IoT (Internet of Things) into the manufacturing field to develop an IoMT (Internet of Manufacturing Things) architecture with real-time traceability, visibility, and interoperability in production planning, execution, and...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zhang, Yingfeng (Autor), Tao, Fei (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom ; San Diego, CA : Academic Press, [2017]
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Title page; Copyright page; Contents; Preface; Chapter 1
  • Introduction; 1.1
  • The concept of IoT; 1.2
  • Existing manufacturing paradigms and their limitations; 1.2.1
  • Agile Manufacturing; 1.2.2
  • Networked Manufacturing; 1.2.3
  • Reconfigurable Manufacturing Systems; 1.2.3.1
  • Modularity; 1.2.3.2
  • Integrability; 1.2.3.3
  • Customization; 1.2.3.4
  • Convertibility; 1.2.3.5
  • Scalability; 1.2.3.6
  • Diagnosability; 1.2.4
  • Product-Service System/Industrial Product-Service Systems; 1.2.5
  • Manufacturing Grid; 1.2.6
  • Cloud Manufacturing; 1.2.7
  • Limitations.
  • 1.3
  • Applications of IoT in manufacturing system1.4
  • The conception of IoT-MS; 1.5
  • Key features and limitations of IoT-MS; 1.6
  • Organization of the book; References; Chapter 2
  • Overview of IoT-Enabled Manufacturing System; 2.1
  • Introduction; 2.2
  • Related work; 2.2.1
  • Advanced Manufacturing Paradigms and Technologies; 2.2.2
  • Manufacturing Information Standard and Share and Integration Method; 2.3
  • Overall architecture of IoT-MS; 2.4
  • Integration framework of real-time manufacturing information; 2.4.1
  • Framework of Real-Time Manufacturing Information Sharing and Integration.
  • 2.4.2
  • Real-Time Manufacturing Data Processing, Sharing, and Exchanging Service2.5
  • The worklogic of IoT-MS; 2.6
  • Description of the core technologies of IoT-MS; References; Chapter 3
  • Real-Time and Multisource Manufacturing Information Sensing System; 3.1
  • Introduction; 3.2
  • Related works; 3.2.1
  • Real-Time Manufacturing Data Capturing; 3.2.2
  • Sensor Management; 3.2.3
  • Manufacturing Information Processing and Sharing; 3.3
  • Overall architecture of real-time and�multisource RMMISS; 3.3.1
  • Deployment of Multiple Sensors; 3.3.2
  • Multiple Sensors Manager.
  • 3.3.3
  • Multisource Manufacturing Information Processing and�Sharing3.4
  • Deployment of multisensors; 3.4.1
  • Description of Multisource Manufacturing Information; 3.4.2
  • Multiple Sensors Selection; 3.5
  • Multiple sensors manager; 3.6
  • Multisource manufacturing information capturing and sharing; 3.6.1
  • Data Preprocessing; 3.6.2
  • Information Encapsulation; 3.6.3
  • Manufacturing Information Sharing; 3.7
  • Case study; 3.7.1
  • Hardware Device; 3.7.2
  • Software System; References; Chapter 4
  • IoT-Enabled Smart Assembly Station; 4.1
  • Introduction; 4.2
  • Related works.
  • 4.2.1
  • RFID-Based Applications in Assembly Line4.2.2
  • Assistant Services for Assembly Line; 4.3
  • Overall architecture of IoT-enabled smart assembly station; 4.4
  • Real-time status monitoring; 4.5
  • Real-time production guiding; 4.6
  • Real-time production data sharing; 4.7
  • Real-time production requeuing; References; Chapter 5
  • Cloud Computing-Based Manufacturing Resources Configuration Method; 5.1
  • Introduction; 5.2
  • Related works; 5.2.1
  • Cloud Manufacturing; 5.2.2
  • Real-Time Production Information Perception and Capturing; 5.2.3
  • Cloud Service Selection and Composition.
  • 5.3
  • Overall architecture of manufacturing resources configuration method.