A new scheduling system with assumption-based inference

An assumption-based inference system for solving scheduling problems in the steel-making process is proposed. Scheduling problems that are difficult to solve by an analytical method have been mainly solved by searching state space. However, the cost of solving the state-space problem is expensive. An assumption-based inference system that makes it possible to search state space effectively by the pair coils exchange method, and to avoid combinational explosion, was developed. To evaluate the approach, the system was applied to a steel production line for prototype use. It was confirmed that this system improved product quality.<
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