This paper presents a novel modeling framework for semiconductor fabrication facilities (FABs) that integrates production and material handling systems. Because the productivity of semiconductor FABs is significantly influenced by their material-handling systems, existing research has focused on optimizing operational logic considering both aspects. However, the scale and complexity of modern FABs make implementation of fully integrated models challenging, resulting in slow simulation speeds for long periods. To address this issue, we propose a multi-resolution modeling framework that creates material-handling system models at two distinct resolution levels, enabling fast, fully integrated FAB models while accounting for material-handling effects. Experimental results demonstrated accelerated simulation completion compared to single-resolution models while maintaining consistent results. The proposed method provides a practical approach for semiconductor FABs to investigate long-term phenomena and urgent decision-making problems while considering both production and material-handling systems.
This work was supported by the National Research Foundation (NRF-2020R1A2C1004544) grant by the Korean government (MSIT); the Institute for Information and Communications Technology Promotion (IITP-2021000292) grant by the Korean government (MSIT); and the Ministry of Trade, Industry & Energy (MOTIE, Korea) of the Republic of Korea (RS-2022-00155650).