Demand forecasting system using customer behavior to optimize foundry manufacturing

Following the rapid advancement of the IC industry, the IC business cycle has become increasingly hard to predict. Additionally, foundry strategy differs between the high and low season, and foundries need lead time to reflect changes in demand. Thus, the Semiconductor Foundry Industry requires a useful method for forecasting demand, which is critical for Foundries for setting their Manufacturing planning and Control (MPC) strategy. Therefore, this work describes a novel DFSS to help decision makers determine appropriate policy. Furthermore, this study can mitigate the bullwhip effect through high-quality and timely decision-making.