Overview
- Provides the Application of Industrial Engineering in Chinese Enterprises;
- Illustrates Innovative Method and Its Application about Industrial Engineering and Engineering Management, and other related fields;
- A New Development of International Industrial Engineering and Engineering Management;
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Table of contents (29 papers)
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Simulation and Optimization
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Supply Chain and Scheduling
Keywords
About this book
Editors and Affiliations
About the editors
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
Bibliographic Information
Book Title: IE&EM 2019
Book Subtitle: Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019
Editors: Chen-Fu Chien, Ershi Qi, Runliang Dou
DOI: https://doi.org/10.1007/978-981-15-4530-6
Publisher: Springer Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-4529-0Published: 25 April 2020
Softcover ISBN: 978-981-15-4532-0Published: 25 April 2021
eBook ISBN: 978-981-15-4530-6Published: 24 April 2020
Edition Number: 1
Number of Pages: VII, 296
Number of Illustrations: 40 b/w illustrations, 95 illustrations in colour
Topics: Business and Management, general, Industrial Chemistry/Chemical Engineering, Artificial Intelligence, Data Mining and Knowledge Discovery