Optimization methods in Intelligent Manufacturing

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Guest Editors
Prof. Xinyu Li
Huazhong University of Science & Technology, Wuhan, China
Email: lixinyu@mail.hust.edu.cn

Dr. Jin Yi
National University of Singapore, Singapore
Email: iseyij@nus.edu.sg

Dr. Junliang Wang
Donghua University, Shanghai, China
Email: Junliang.Wang2018@gmail.com

Manuscript Topics
Intelligent manufacturing is a main trend in the development of world manufacturing industry. United States proposes the intelligent manufacturing plan based on "Industrial Internet". German proposes the “Industry 4.0” plan to boost the competitiveness of the manufacturing industry through intelligent manufacturing. The intelligent manufacturing is also the main direction of the “Made in China 2025” plan. Moreover, Japan and some other big manufacturing countries also put forward the corresponding strategies for the development of intelligent manufacturing. The intelligent manufacturing becomes more and more popular in the manufacturing industry.

Optimization method is one of the key techniques for intelligent manufacturing to achieve its maximum performance including productivity, cost, quality, energy consumption and so on. This special issue aims to establish a forum for the discussion of recent progresses on the optimization methods in intelligent manufacturing. This special issue will publish original research, review and application papers including but not limited to the following fields:

• Big Data and AI Driven Optimization Methods in Intelligent Manufacturing
• CPS and Digital Twin in Intelligent Manufacturing
• Optimization Methods in Intelligent Process Planning
• Optimization Methods in Intelligent Manufacturing Process
• Optimization Methods in Intelligent Fault Diagnosis
• Optimization Methods in Intelligent Scheduling
• Optimization Methods in Intelligent Manufacturing Systems
• Optimization Methods in Sustainable Manufacturing and Re-Manufacturing
• Applications of Optimization Methods in Intelligent Manufacturing
• Other Related Topics on Optimization Methods in Intelligent Manufacturing

Paper Submission
All manuscripts will be peer-reviewed before their acceptance for publication.
The deadline for manuscript submission is June 30, 2019

Instructions for authors
Please submit your manuscript to online submission system

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Mengya Zhang, Qing Wu, Zezhou Xu
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Lingling Li, Congbo Li, Li Li, Ying Tang, Qingshan Yang
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Hao Li, Xiaoyu Wen, Haoqi Wang, Guofu Luo, Steve Evans
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Guohui Zhang, Jinghe Sun, Xing Liu, Guodong Wang, Yangyang Yang
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Youlong Lv, Jie Zhang
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Long Wen, Yan Dong, Liang Gao
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Xiuli Wu, Xianli Shen, Linjuan Zhang
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Li-Tao Zhang, Chao-Qian Li, Yao-Tang Li
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