Mathematical Problems in Emerging Manufacturing Systems Management
1National Cheng Kung University, Tainan, Taiwan
2National Chiao Tung University, Hsinchu, Taiwan
3The Hong Kong Polytechnic University, Hong Kong
4University of Ulsan, Ulsan, Republic of Korea
5University of the West of England, Bristol, UK
Mathematical Problems in Emerging Manufacturing Systems Management
Description
This special issue aims to address the mathematical problems associated with the management of innovative emerging manufacturing systems. In the area of management science, the mathematical problems often include but are not limited to mathematical programming, stochastic process, simulation optimization, statistical methods, and experimental design. The scope of innovative manufacturing systems management in this special issue will address the emerging issues from production and operations management, manufacturing strategy, lean/agile manufacturing, supply chain and logistics management, healthcare systems management, and so forth. Any state-of-the-art applications that contribute to the technological innovation with mathematics-oriented solution approaches will be given priority in this special issue. Particularly, empirical research papers with scientific novelty are invited to address this subject area. The scope of this special issue covers the mathematical problems experienced while solving all aspects of emerging manufacturing systems management problems.
Potential topics include, but are not limited to:
- Statistical methods
- Mathematical programming
- Simulation optimization
- Stochastic process
- Experimental design
- Intelligent search methods