© 2020

IE&EM 2019

Proceedings of the 25th International Conference on Industrial Engineering and Engineering Management 2019

  • Chen-Fu Chien
  • Ershi Qi
  • Runliang Dou
Conference proceedings

Table of contents

  1. Front Matter
    Pages i-vii
  2. Simulation and Optimization

    1. Front Matter
      Pages 1-1
    2. Jiang Shen, Ling-ling Li, Dong-ming Lin
      Pages 21-27
    3. Da-wei Zhou, Jin-jin Huang, Lin-lin Gan, Dao-zhi Zhao, Shao-luan Wang, Kai-xuan Hu et al.
      Pages 58-66
    4. Su-xia Liu, Xu Yang, Yu-qing Zhu, Qiang Mei
      Pages 76-93
    5. Man Zhao, Yan-hua Ma, Xin-chen Wang, Yi-xin Zhang, Ruo-lan Xu
      Pages 109-116
    6. Ai-ping Wu, Hua Li, Hai-mei Li, Rui-peng Liu
      Pages 117-133
    7. Qing Zeng, Xue-wen Dong, Wan-lin Cao
      Pages 134-144
    8. Hua Zhang, Li Li, Xingzhen Zhu, Xiang He
      Pages 145-152
    9. Xiu-hong Wang, Xue-hao Liu, Yong-cheng Wang, Shuai-peng Liang
      Pages 153-161
  3. Supply Chain and Scheduling

    1. Front Matter
      Pages 163-163

About these proceedings


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.


Industrial Engineering Smart Manufacturing Internet of Things Simulation,Optimization &Modelling Production Planning and Control Decision Analytics Supply Chain & Scheduling Data Mining Human Factors Engineering Logistics Engineering and Management

Editors and affiliations

  • Chen-Fu Chien
    • 1
  • Ershi Qi
    • 2
  • Runliang Dou
    • 3
  1. 1.Department of Industrial Engineering and Engineering ManagementNational Tsing Hua UniversityHsinchuTaiwan
  2. 2.Department of Industrial EngineeringTianjin UniversityTianjinChina
  3. 3.Department of Information Management and Management ScienceTianjin UniversityTianjinChina

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

Bibliographic information

Industry Sectors
Chemical Manufacturing
Finance, Business & Banking
IT & Software
Consumer Packaged Goods