This paper presents the challenges and results of implementing an optimization-based scheduling engine in a high-mix 300mm fully automated semiconductor manufacturing facility. Efficient scheduling of lots on photolithography machines is crucial due to their high cost and critical role in production. Optimally managing the transportation, storage and inspection of a large number of masks is essential to ensure this efficiency. Initially deployed in the cleaning and diffusion work center, the optimization engine was adapted for photolithography and is operational since May 2024. This generic engine solves large multi-objective scheduling problems in minutes, considering diverse constraints related to processing and transportation resources, product quality, and global production targets. The successful deployment demonstrates the engine’s potential for full factory scheduling, with ongoing efforts to enhance its genericity, efficiency, and effectiveness.
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