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010   $a981-13-2375-5
024 7 $a10.1007/978-981-13-2375-1
035   $a(CKB)4100000007223463
035   $a(MiAaPQ)EBC5620169
035   $a(DE-He213)978-981-13-2375-1
035   $a(EXLCZ)994100000007223463
100   $a20181214d2019      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvanced Manufacturing and Automation VIII$b[electronic resource] /$fedited by Kesheng Wang, Yi Wang, Jan Ola Strandhagen, Tao Yu
205   $a1st ed. 2019.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (484 pages)
225 1 $aLecture Notes in Electrical Engineering,$x1876-1100 ;$v484
311   $a981-13-2374-7 
327   $aRobotics and Automation -- Chemical Process Equipment -- Parallel Mechanism and Manipulator -- 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 -- EEG and Eye Tracking for Cognitive Applications -- RFID Applications -- Predictive Maintenance -- Reliability and Maintainability in Manufacturing -- Project Management -- Renewable Energy Development -- Knowledge Management and Decision Making -- Intelligent Inspection.
330   $aThis proceeding is a compilation of selected papers from the 8th International Workshop of Advanced Manufacturing and Automation (IWAMA 2018), held in Changzhou, China on September 25 - 26, 2018. Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0 and smart factory. These contributions are vital for maintaining and improving economic development and quality of life. The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factory.
410  0$aLecture Notes in Electrical Engineering,$x1876-1100 ;$v484
606   $aManufactures
606   $aEngineering economy
606   $aArtificial intelligence
606   $aRobotics and Automation$3http://scigraph.springernature.com/things/product-market-codes/T19020
606   $aManufacturing, Machines, Tools, Processes$3http://scigraph.springernature.com/things/product-market-codes/T22050
606   $aEngineering Economics, Organization, Logistics, Marketing$3http://scigraph.springernature.com/things/product-market-codes/T22016
606   $aArtificial Intelligence$3http://scigraph.springernature.com/things/product-market-codes/I21000
615  0$aManufactures.
615  0$aEngineering economy.
615  0$aArtificial intelligence.
615 14$aRobotics and Automation.
615 24$aManufacturing, Machines, Tools, Processes.
615 24$aEngineering Economics, Organization, Logistics, Marketing.
615 24$aArtificial Intelligence.
676   $a670.427
702   $aWang$b Kesheng$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aWang$b Yi$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aStrandhagen$b Jan Ola$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aYu$b Tao$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910483975603321
996   $aAdvanced Manufacturing and Automation VIII$92550638
997   $aUNINA