We are studying fundamental technologies about optimization and algorithms such as combinatorial optimization and graph algorithms. Our research achievements can contribute towards solving various problems in the real world. Examples include production cost reduction, lead time reduction, effective utilization of natural resources, and so on. Optimization is also an important for solving complicated real world problems involving human factors.
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- Optimization in the Steel Industry
- Inventry Application
- Melting Shop Scheduling
- Slab Design
- Plate Design Problem
- Hot Mill Scheduling
- Finishing Line Scheduling
- Stochastic Optimization