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010   $a981-15-4530-8
024 7 $a10.1007/978-981-15-4530-6
035   $a(CKB)4100000011223337
035   $a(MiAaPQ)EBC6186861
035   $a(DE-He213)978-981-15-4530-6
035   $a(PPN)243760116
035   $a(EXLCZ)994100000011223337
100   $a20200424d2020      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aIE&EM 2019 $eProceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019 /$fedited by Chen-Fu Chien, Ershi Qi, Runliang Dou
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (vii, 296 pages) $cillustrations
311   $a981-15-4529-4 
330   $aThis book records the new research findings and development in the field of industrial engineering and engineering management, and it will serve as the guidebook for the potential development in future. It gathers the accepted papers from the 25th International conference on Industrial Engineering and Engineering Management held at Anhui University of Technology in Maanshan during August 24-25, 2019. The aim of this conference was to provide a high-level international forum for experts, scholars and entrepreneurs at home and abroad to present the recent advances, new techniques and application, to promote discussion and interaction among academics, researchers and professionals to promote the developments and applications of the related theories and technologies in universities and enterprises, and to establish business or research relations to find global partners for future collaboration in the field of Industrial Engineering. It addresses diverse themes in smart manufacturing, artificial intelligence, ergonomics, simulation and modeling, quality and reliability, logistics engineering, data mining and other related fields. This timely book summarizes and promotes the latest achievements in the field of industrial engineering and related fields over the past year, proposing prospects and vision for the further development.
606   $aBusiness
606   $aManagement science
606   $aChemical engineering
606   $aArtificial intelligence
606   $aData mining
606   $aBusiness and Management, general$3https://scigraph.springernature.com/ontologies/product-market-codes/500000
606   $aIndustrial Chemistry/Chemical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/C27000
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
615  0$aBusiness.
615  0$aManagement science.
615  0$aChemical engineering.
615  0$aArtificial intelligence.
615  0$aData mining.
615 14$aBusiness and Management, general.
615 24$aIndustrial Chemistry/Chemical Engineering.
615 24$aArtificial Intelligence.
615 24$aData Mining and Knowledge Discovery.
676   $a670.42
702   $aChien$b Chen-Fu$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aQi$b Ershi$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aDou$b Runliang$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910733711003321
996   $aIE&EM 2019$93397884
997   $aUNINA