Integration of Simulation and Scheduling for the Optimization of a Large Scale Semiconductor FAB

This paper presents a methodology to optimize semiconductor FAB operations by integrating simulation and scheduling. Due to the complexity and dynamic nature of modern FABs, traditional simulations fail to capture realistic interactions between AMHS simulation and scheduling. To address this, we propose a coupled simulation approach that allows real-time schedule updates and system status synchronization, enhancing responsiveness to fluctuations. Experimental results, based on the SMT2020 model, demonstrate improved production efficiency when jointly utilizing the real-time scheduler (RTS) and real-time dispatcher (RTD), compared to their isolated use. Key performance indicators, including total output, on-time delivery rate, and equipment utilization, suggest optimal FAB efficiency at specific dispatching loss thresholds, highlighting the importance of tailored RTS and RTD strategies. This approach provides a foundation for FAB digital twin research, with potential applications in real-world semiconductor manufacturing.

Authors

Publication Details

Journal
Korean Journal of Computational Design and Engineering
Published
2025-03-31
DOI
https://doi.org/10.7315/cde.2025.083
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of Simulation and Scheduling for the Optimization of a Large Scale Semiconductor FAB

Byung‐Hee Kim, Sungtae Lee, Jae-Yong Oh, Sang-Chul Park et al.
1 links
Korean Journal of Computational Design and Engineering
Scheduling and Optimization Algorithms
article

Integration of Simulation and Scheduling for the Optimization of a Large Scale Semiconductor FAB

Byung‐Hee Kim, Sungtae Lee, Jae-Yong Oh, Sang-Chul Park, Keyhoon Ko, Donguk Kim
article en

Abstract

This paper presents a methodology to optimize semiconductor FAB operations by integrating simulation and scheduling. Due to the complexity and dynamic nature of modern FABs, traditional simulations fail to capture realistic interactions between AMHS simulation and scheduling. To address this, we propose a coupled simulation approach that allows real-time schedule updates and system status synchronization, enhancing responsiveness to fluctuations. Experimental results, based on the SMT2020 model, demonstrate improved production efficiency when jointly utilizing the real-time scheduler (RTS) and real-time dispatcher (RTD), compared to their isolated use. Key performance indicators, including total output, on-time delivery rate, and equipment utilization, suggest optimal FAB efficiency at specific dispatching loss thresholds, highlighting the importance of tailored RTS and RTD strategies. This approach provides a foundation for FAB digital twin research, with potential applications in real-world semiconductor manufacturing.

Korean Journal of Computational Design and EngineeringVol. 30(1)
Openalex Percentile: Top 92%
Scheduling and Optimization Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.