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Optimization of manufacturing systems using the Internet of Things
Author
Title
Optimization of manufacturing systems using the Internet of Things / Yingfeng Zhang, Fei Tao.
ISBN
9780128099117
0128099119
9780128099100
0128099100
Publication
London, United Kingdom ; San Diego, CA : Academic Press, [2017]
Copyright Notice Date
©2017
Physical Description
1 online resource (1 volume) : illustrations
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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 control. This book is essential reading for anyone interested in the optimization and control of an intelligent manufacturing system. As modern manufacturing shop-floors can create bottlenecks in the capturing and collection of real-time field information, and because paper-based manual systems are time-consuming and prone to errors, this book helps readers understand how to alleviate these issues, assisting them in their decision-making on shop-floors.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version:
Format
Books / Online
Language
English
Added to Catalog
August 28, 2023
Bibliography
Includes bibliographical references and index.
Contents
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.
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