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010   $a981-10-5768-0
024 7 $a10.1007/978-981-10-5768-7
035   $a(CKB)3840000000351167
035   $a(MiAaPQ)EBC5287948
035   $a(DE-He213)978-981-10-5768-7
035   $a(PPN)224636251
035   $a(EXLCZ)993840000000351167
100   $a20180210d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aAdvanced Manufacturing and Automation VII /$fedited by Kesheng Wang, Yi Wang, Jan Ola Strandhagen, Tao Yu
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (644 pages) $cillustrations, tables
225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v451
311   $a981-10-5767-2 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aRobotics 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.
330   $aThe proceeding brings together a selection of papers from the 7th International Workshop of Advanced Manufacturing and Automation (IWAMA 2017), held in Changshu Institute of Technology, Changshu, China on September 11?12, 2017. Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0. These contributions are vital for maintaining and improving economic development and quality of life. The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.
410  0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v451
606   $aControl engineering
606   $aRobotics
606   $aAutomation
606   $aManufactures
606   $aIndustrial Management
606   $aArtificial intelligence
606   $aControl, Robotics, Automation
606   $aMachines, Tools, Processes
606   $aIndustrial Management
606   $aArtificial Intelligence
615  0$aControl engineering.
615  0$aRobotics.
615  0$aAutomation.
615  0$aManufactures.
615  0$aIndustrial Management.
615  0$aArtificial intelligence.
615 14$aControl, Robotics, Automation.
615 24$aMachines, Tools, Processes.
615 24$aIndustrial Management.
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$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299931903321
996   $aAdvanced Manufacturing and Automation VII$92525432
997   $aUNINA