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 us...

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Bibliographic Details
Published in2010 International Symposium on Semiconductor Manufacturing (ISSM) pp. 1 - 4
Main Authors Rung-Shin Jiang, Liou, E D, Kao-Lan Chen, Chun-Sheng Su, Chih-Young Hung
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Biological system modeling
Book-to-bill ratio
bullwhip effect
customer behavior
demand forecast
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Logic gates
panel data
Planning
Production
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Summary: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.
ISBN:1457703920
9781457703928
ISSN:1523-553X