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System integration and optimization for SME sustainable wood product manufacturing systems
The research is to develop and apply advanced data technology and modeling technology for optimal and wood manufacturing. Numerical and optimization models will be developed with effective and efficient solution methods to find optimal or Pareto optimal solutions of the studied problems. The industry partner will be strongly supported by such numerical tools in its decision making in achieving its goals of sustainable and high quality wood product manufacturing.
Faculty Supervisor:
MingYuan Chen
Student:
Partner:
SEATPLY Inc.
Discipline:
Engineering
Sector:
Manufacturing
University:
Concordia University
Program:
Accelerate
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