國立虎尾科技大學 |

Advanced Manufacturing and Automation VII

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advanced Manufacturing and Automation VII/ edited by Kesheng Wang, Yi Wang, Jan Ola Strandhagen, Tao Yu.
other author:	Wang, Kesheng.
Description:	XVIII, 644 p. 361 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial Intelligence. -
Online resource:	https://doi.org/10.1007/978-981-10-5768-7
ISBN:	9789811057687

Advanced Manufacturing and Automation VII
Advanced Manufacturing and Automation VII[electronic resource] /edited by Kesheng Wang, Yi Wang, Jan Ola Strandhagen, Tao Yu. - 1st ed. 2018. - XVIII, 644 p. 361 illus.online resource. - Lecture Notes in Electrical Engineering,4511876-1100 ;. - Lecture Notes in Electrical Engineering,317.

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.

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.

ISBN: 9789811057687

Standard No.: 10.1007/978-981-10-5768-7doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.892

Advanced Manufacturing and Automation VII
LDR:02893nam a22004215i 4500 001 990050
003 DE-He213
005 20200703101348.0
007 cr nn 008mamaa
008 201225s2018 si | s |||| 0|eng d
020 $a 9789811057687 $9 978-981-10-5768-7
024 7 $a 10.1007/978-981-10-5768-7 $2 doi
035 $a 978-981-10-5768-7
050 4 $a TJ210.2-211.495
050 4 $a T59.5
072 7 $a TJFM1 $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TJFM1 $2 thema
082 0 4 $a 629.892 $2 23
245 1 0 $a Advanced Manufacturing and Automation VII $h [electronic resource] / $c edited by Kesheng Wang, Yi Wang, Jan Ola Strandhagen, Tao Yu.
250 $a 1st ed. 2018.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a XVIII, 644 p. 361 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Lecture Notes in Electrical Engineering, $x 1876-1100 ; $v 451
505 0 $a 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 $a 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.
650 2 4 $a Artificial Intelligence. $3 646849
650 0 $a Robotics. $3 561941
650 0 $a Automation. $3 596698
650 0 $a Manufactures. $3 680602
650 0 $a Engineering economics. $3 1253802
650 0 $a Engineering economy. $3 632434
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Robotics and Automation. $3 782979
650 2 4 $a Manufacturing, Machines, Tools, Processes. $3 1226012
650 2 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 669171
700 1 $a Wang, Kesheng. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1281815
700 1 $a Wang, Yi. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1091290
700 1 $a Strandhagen, Jan Ola. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1281816
700 1 $a Yu, Tao. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1281817
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811057670
776 0 8 $i Printed edition: $z 9789811057694
776 0 8 $i Printed edition: $z 9789811354854
830 0 $a Lecture Notes in Electrical Engineering, $x 1876-1100 ; $v 317 $3 1253457
856 4 0 $u https://doi.org/10.1007/978-981-10-5768-7
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)