東華大學圖書館 |

Optimization of manufacturing systems using the internet of things

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization of manufacturing systems using the internet of things/ Yingfeng Zhang, Fei Tao.
作者:	Zhang, Yingfeng,
其他作者:	Tao, Fei.
出版者:	London, United Kingdom ;Academic Press, : 2017.,
面頁冊數:	1 online resource (1 volume) :ill.
內容註:	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.
內容註:	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.
內容註:	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.
內容註:	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.
內容註:	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.
內容註:	5.3 -- Overall architecture of manufacturing resources configuration method.
標題:	Manufacturing processes. -
電子資源:	https://www.sciencedirect.com/science/book/9780128099100
ISBN:	9780128099117

Optimization of manufacturing systems using the internet of things
Zhang, Yingfeng,

Optimization of manufacturing systems using the internet of things[electronic resource] /Yingfeng Zhang, Fei Tao. - London, United Kingdom ;Academic Press,2017. - 1 online resource (1 volume) :ill.

Includes bibliographical references and index.

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.

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.

ISBN: 9780128099117

LCCN: 2017286261Subjects--Topical Terms:

613090
Manufacturing processes.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TS183

Dewey Class. No.: 670

Optimization of manufacturing systems using the internet of things
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300 $a 1 online resource (1 volume) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a 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.
505 8 $a 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.
505 8 $a 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.
505 8 $a 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.
505 8 $a 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.
505 8 $a 5.3 -- Overall architecture of manufacturing resources configuration method.
520 $a 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.
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650 7 $a TECHNOLOGY & ENGINEERING $x Manufacturing. $2 bisacsh $3 1457942
650 7 $a TECHNOLOGY & ENGINEERING $x Technical & Manufacturing Industries & Trades. $2 bisacsh $3 1457941
655 0 $a Electronic books. $2 lcsh $3 542853
700 1 $a Tao, Fei. $3 2132692
856 4 0 $u https://www.sciencedirect.com/science/book/9780128099100