@inproceedings{4dc1bf3fc1b041b6952a67b2a55aa6cb,
title = "Demand forecasting system using customer behavior to optimize foundry manufacturing",
abstract = "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.",
keywords = "Book-to-bill ratio, bullwhip effect, customer behavior, demand forecast, panel data",
author = "Jiang, {Rung Shin} and Liou, {Edwin D.} and Chen, {Kao Lan} and Su, {Chun Sheng} and Chih-Young Hung",
year = "2010",
month = oct,
language = "English",
isbn = "9781457703928",
series = "IEEE International Symposium on Semiconductor Manufacturing Conference Proceedings",
booktitle = "2010 International Symposium on Semiconductor Manufacturing, ISSM 2010",
note = "null ; Conference date: 18-10-2010 Through 20-10-2010",
}