Optimization methods in Intelligent Manufacturing

  E-mail   Print

Guest Editors:

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

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

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

Summary for this topic

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

Full text submission due date: June 30, 2019
Full paper should be submitted online to the journal at http://oeps.aimspress.com/mbe/ch/author/login.aspx
Before submission, authors should carefully read over the instruction for Authors which are located at http://www.aimspress.com/news/295.html

Guohui Zhang, Jinghe Sun, Xing Liu, Guodong Wang, Yangyang Yang
+ Abstract     + HTML     + PDF(658 KB)
Youlong Lv, Jie Zhang
+ Abstract     + HTML     + PDF(1010 KB)
Qing Wu, Chunjiang Zhang, Mengya Zhang, Fajun Yang, Liang Gao
+ Abstract     + HTML     + PDF(1375 KB)
Long Wen, Yan Dong, Liang Gao
+ Abstract     + HTML     + PDF(1078 KB)
Xiuli Wu, Xianli Shen, Linjuan Zhang
+ Abstract     + HTML     + PDF(2298 KB)
Li-Tao Zhang, Chao-Qian Li, Yao-Tang Li
+ Abstract     + HTML     + PDF(693 KB)
Open Access Journals
Blog:
More
Open Access Journals