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Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. George Q. Huang

    1. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, Hong Kong

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  2. Chen-Fu Chien

    1. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan

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  3. Runliang Dou

    1. Department of Information Management and Management Science, Tianjin University, Tianjin, China

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  • Application of Industrial Engineering in Chinese Enterprise
  • Engineering Management Technique and Method of Chinese Style
  • New Development of International Industrial Engineering and Engineering Management
  • Innovative Method and Its Application about Industrial Engineering and Engineering Management, and Other Related Fields

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Table of contents (75 papers)

  1. Front Matter

    Pages i-xi
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  2. Smart Manufacturing

    1. Front Matter

      Pages 1-1
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    2. A Hybrid Algorithm for Facility Layout Problem of Mixed Model Assembly Line

      • Shi-jun Yang, Ling Zhao
      Pages 3-12

    3. Assessment of the Vulnerability of Emergency Rescue System in Coal Enterprises Based on GGAHP

      • Tian-bo Xu
      Pages 13-20

    4. Research on Carbon Footprint Analysis Model of Mechanical and Electrical Products from the Perspective of LCA

      • Hui Zheng, Yi-Fan Yan
      Pages 21-28

    5. Ontology-Based Knowledge Representation Approach for Packaging Cost Estimation of Mechanical and Electrical Products

      • Yun-qi Gong, Xiao-jing Yu, Li-xin Ma
      Pages 29-37

    6. A Smart Framework for Intelligent Manufacturing in the Aluminum Profile Industry Using IoT Technologies

      • Xin Wang, Yong Zhong, Anquan Zou, Hepu Deng
      Pages 38-45

    7. Two-Wheel Drive Practice Led by Lean Thinking

      • Yu-chun Wang, Li-fang Wang, An-qing Zuo
      Pages 46-53

    8. Controlling and Optimization of Maintenance Production System for EMU Bogies

      • Yi-fan Ge, Bao-zhang Qu, Liang Zhang, Bi-hong Lu
      Pages 54-63

    9. Design and Development of the Personalized Customized Platform of Electric Motor Based on J2EE

      • Jian-guo Yu, Wei-wei Zhang, Jian-ming Xiang, Feng Zeng
      Pages 64-72

    10. Joint Optimization of Flexible Periodic Preventive Maintenance and Nonidentical Parallel Machines Scheduling with Consideration of Delivery on Time

      • Ji-shan Zhang, Hang-yu Lou, Ya-run Liu
      Pages 73-82

    11. Mean Shifts Monitoring of Auto-correlated Manufacturing Processes Using Long Short-Term Memory-Based Recurrent Neural Network

      • Shu-mei Chen, Jian-bo Yu
      Pages 83-94

    12. Exploring a New Lean Operation Mode for Chinese Manufacturing Enterprises Based on Comparing Major “Industry 4.0” Strategies

      • Run Zhao, Haixia Sang
      Pages 95-102

    13. Legal Guarantee of Green Manufacturing in China Under the Background of Ecological Civilization

      • Hui-qing Wen, Jian-wei Niu
      Pages 103-109

    14. Scheduling Optimization for Multi-AGVs in Intelligent Assembly Workshop

      • Ji-hong Yan, Ming-yang Zhang, Zi-min Fu
      Pages 110-119

  3. Artificial Intelligence

    1. Front Matter

      Pages 121-121
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    2. Random Forest Classifier for Distributed Multi-plant Order Allocation

      • Si-han Wang, Wen-di Ren, Yi-fan Zhang, Feng Liang
      Pages 123-132

    3. Reliability Modeling with Application for Calibration Data

      • Bing-yue Liu, Feng Qin, Shi-qiao Liu, Sheng-wu Cai
      Pages 133-141

    4. Research on Long-Term Portfolio Selection Model Based on DEA Cross-Efficiency Evaluation

      • Chengchao Qiu
      Pages 142-150

    5. Subspace Clustering Based on Self-organizing Map

      • Jin Tian, Mengyi Gu
      Pages 151-159
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Keywords

About this book

This book records the new research findings and development in the field of industrial engineering, and it will serve as the guidebook for the potential development in industrial engineering and smart manufacturing.  It gathers the accepted papers from the 24th International conference on Industrial Engineering and Engineering Management held at Central South University of Forestry and Technology in Changsha during May 19-20, 2018. 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 diversethemes 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.

Editors and Affiliations

  • Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, Hong Kong

    George Q. Huang

  • Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan

    Chen-Fu Chien

  • Department of Information Management and Management Science, Tianjin University, Tianjin, China

    Runliang Dou

About the editors



Bibliographic Information

  • Book Title: Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018

  • Editors: George Q. Huang, Chen-Fu Chien, Runliang Dou

  • DOI: https://doi.org/10.1007/978-981-13-3402-3

  • Publisher: Springer Singapore

  • eBook Packages: Business and Management, Business and Management (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2019

  • Hardcover ISBN: 978-981-13-3401-6Published: 15 January 2019

  • eBook ISBN: 978-981-13-3402-3Published: 12 January 2019

  • Edition Number: 1

  • Number of Pages: XI, 725

  • Number of Illustrations: 111 b/w illustrations, 130 illustrations in colour

  • Topics: Innovation/Technology Management, Artificial Intelligence, Data Mining and Knowledge Discovery

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