Overview
- Editors:
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Chen-Fu Chien
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Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan
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Ershi Qi
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Department of Industrial Engineering, Tianjin University, Tianjin, China
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Runliang Dou
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Department of Information Management and Management Science, Tianjin University, Tianjin, China
- 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;
About this book
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.
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Table of contents (29 papers)
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Supply Chain and Scheduling
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- Haixia Sang, Shingo Takahashi
Pages 172-182
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- Tian-rui Zhang, Ming-qi Wei, Chuan-sheng Qu, Jia-nan Xu
Pages 193-202
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- Di Liang, Kai Zhang, Yu-cheng Pan, Yue Liu
Pages 203-212
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- Rui-min Zhang, Xiao-ying Yang
Pages 213-223
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- Le Sun, Xiu-quan Deng, Nueraili Aihemaiti, Zhi-yuan Dang, Yu-shan Xu, Hong-wei Jia
Pages 224-233
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- Mei-Yan Li, Rui-Feng Qi, Chuan Luo, Jia-xin Chong
Pages 234-249
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- Hong-tao Tang, Huan Zhang, Xiang-yi Li, Yue Feng
Pages 250-260
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- Hong-fei Guo, Zhen-hao Huo, Ru Zhang, Ting Qu, Cong-dong Li, Bao Chao et al.
Pages 269-275
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- Hong-fei Guo, Chun-yu Xu, Ru Zhang, Jin-cheng Shi, Ting Qu, Cong-dong Li et al.
Pages 276-283
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- Hong-fei Guo, Ru Zhang, Ting Qu, Cong-dong Li, Zheng-wei Zou, Yi Zhou et al.
Pages 284-293
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Back Matter
Pages 295-296
Editors and Affiliations
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Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan
Chen-Fu Chien
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Department of Industrial Engineering, Tianjin University, Tianjin, China
Ershi Qi
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Department of Information Management and Management Science, Tianjin University, Tianjin, China
Runliang Dou
About the editors
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