03446nam 22006375 450 991073371100332120251113183622.0981-15-4530-810.1007/978-981-15-4530-6(CKB)4100000011223337(MiAaPQ)EBC6186861(DE-He213)978-981-15-4530-6(PPN)243760116(MiAaPQ)EBC6186791(EXLCZ)99410000001122333720200424d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIE&EM 2019 Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019 /edited by Chen-Fu Chien, Ershi Qi, Runliang Dou1st ed. 2020.Singapore :Springer Nature Singapore :Imprint: Springer,2020.1 online resource (vii, 296 pages) illustrations981-15-4529-4 This 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.BusinessManagement scienceChemistry, TechnicalArtificial intelligenceData miningBusiness and ManagementIndustrial ChemistryArtificial IntelligenceData Mining and Knowledge DiscoveryBusiness.Management science.Chemistry, Technical.Artificial intelligence.Data mining.Business and Management.Industrial Chemistry.Artificial Intelligence.Data Mining and Knowledge Discovery.670.42Chien Chen-Fuedthttp://id.loc.gov/vocabulary/relators/edtQi Ershiedthttp://id.loc.gov/vocabulary/relators/edtDou Runliangedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910733711003321IE&EM 20193397884UNINA