Term 241

AI Optimization Model for Heat Treatment Scheduling

Project Type: Self-Initiated

Project Description

The current heat treatment scheduling process is inefficient due to challenges in managing furnace capacity, energy consumption, and processing time. This leads to increased costs, inconsistent product quality, and environmental impact. An AI-driven optimization model can address these issues by improving scheduling efficiency and resource utilization.