Advanced Manufacturing and Automation VII (Record no. 76592)

000 -LEADER
fixed length control field 03892nam a22006375i 4500
001 - CONTROL NUMBER
control field 978-981-10-5768-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214643.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180210s2018 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811057687
-- 978-981-10-5768-7
082 04 - CLASSIFICATION NUMBER
Call Number 629.8
245 10 - TITLE STATEMENT
Title Advanced Manufacturing and Automation VII
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVIII, 644 p. 361 illus.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Electrical Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Robotics and Automation.- Computational Intelligence.- Design and Optimization.- Product Life-cycle Management -- Integration of CAD/CAPP/CAM/CIMS.- Advanced Manufacturing Systems -- Manufacturing Operations Management.- Knowledge-based Manufacturing -- Manufacturing Quality Control and Management.- Sustainable Production.- Diagnosis and Prognosis of Machines.- Industry 4.0.- Lean and Agile Manufacturing.- Virtual and Grid Manufacturing -- Resource and Asset Management.-Logistics and Supply Chain Management.- Fashion Logistics and Marketing -- RFID Applications.- Predictive Maintenance.- Reliability and Maintainability in Manufacturing.- Project Management.- Renewable Energy Development.- Knowledge management and Decision making.
520 ## - SUMMARY, ETC.
Summary, etc The proceeding brings together a selection of papers from the 7th International Workshop of Advanced Manufacturing and Automation (IWAMA 2017), held in Changshu Institute of Technology, Changshu, China on September 11–12, 2017. Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0. These contributions are vital for maintaining and improving economic development and quality of life. The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.
700 1# - AUTHOR 2
Author 2 Wang, Kesheng.
700 1# - AUTHOR 2
Author 2 Wang, Yi.
700 1# - AUTHOR 2
Author 2 Strandhagen, Jan Ola.
700 1# - AUTHOR 2
Author 2 Yu, Tao.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-10-5768-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2018.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Robotics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automation.
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-- Manufactures.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial Management.
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-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control, Robotics, Automation.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machines, Tools, Processes.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Industrial Management.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1876-1119 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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