IE&EM 2019

Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019
1. Auflage 2020
ISBN: 978-981-15-4529-0
Verlag: Springer Nature Singapore

Buch, Englisch, 296 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 623 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Chien, Chen-Fu

Dou, Runliang

Qi, Ershi

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Über Autor(innen)

Dr. Chen-Fu Chien is Tsinghua Chair Professor in National Tsing Hua University (NTHU), Taiwan. Dr. Chien is the Convener for Industrial Engineering and Management Program, Ministry of Science & Technology, Taiwan. His research mainly concerns the development of decision, big data analytics, and optimization solutions for various multi-objective decision problems in real settings. 
Dr. Ershi Qi is a professor in Tianjin University. Dr. Qi is the president in Chinese Industrial Engineering Institution, CMES. His main research interests include System Modern Industrial Engineering and Management Theory, Industrial Engineering and Management Innovation, Logistic and Supply Chain Management, Lean Production and Management. 
Dr. Runliang Dou is an associate professor in Tianjin University. Dr. Dou is also the Deputy Secretary-general in Chinese Industrial Engineering Institution, CMES, and Secretary-general in Chinese Industrial Engineering Department Heads. His research interests mainly are Big Data Analytics and Intelligent Decision, Machine Learning and Data Mining, Product and Service Innovation, and Customer Demand Analytics