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Scheduling Semiconductor Manufacturing Plants to Reduce Mean and Variance of Cycle-Time

机译：安排半导体制造厂以减少周期时间的均值和方差

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《》|2001年|P.83-85|共3页
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Lu; S.C.H.; Ramaswamy; D.;
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中图分类无线电电子学、电信技术;
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专利

1. Efficient scheduling policies to reduce mean and variance of cycle-time in semiconductor manufacturing plants [J] . Lu S.C.H., Ramaswamy D. IEEE Transactions on Semiconductor Manufacturing . 1994,第3期

机译：高效的调度策略，可减少半导体制造工厂中周期时间的均值和方差
2. Cycle-Time Key Factor Identification and Prediction in Semiconductor Manufacturing Using Machine Learning and Data Mining [J] . Meidan Y., Lerner B., Rabinowitz G., Semiconductor Manufacturing, IEEE Transactions on . 2011,第2期

机译：使用机器学习和数据挖掘的半导体制造中的周期时间关键因素识别和预测
3. Cycle-time improvements for photolithography process insemiconductor manufacturing [J] . Akcalt E., Nemoto K., Uzsoy R. IEEE Transactions on Semiconductor Manufacturing . 2001,第1期

机译：光刻工艺半导体制造的周期时间改进
4. Scheduling Semiconductor Manufacturing Plants to Reduce Mean and Variance of Cycle-Time [C] . Lu S.C.H., Ramaswamy D., Institute of Electric and Electronic Engineer IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop . 2001

机译：调度半导体制造工厂以减少循环时间的平均值和方差
5. A learning-based methodology for scheduling problems in semiconductor fabrication plants. [D] . Chen, Chun-Chung. 1997

机译：一种基于学习的方法，用于调度半导体制造厂中的问题。
6. Assessment of Arsenic Exposure by Measurement of Urinary Speciated Inorganic Arsenic Metabolites in Workers in a Semiconductor Manufacturing Plant [O] . Kiwhan Byun, Yong Lim Won, Yang In Hwang, 2013

机译：通过测量半导体制造厂工人的尿中特定无机砷代谢物来评估砷暴露
7. Cycle-Time Key Factor Identification and Prediction in Semiconductor Manufacturing Using Machine Learning and Data Mining [O] . Yair Meidan, Boaz Lerner, Gad Rabinowitz, 2011

机译：使用机器学习和数据挖掘半导体制造中的周期时间关键因子识别与预测

Scheduling Semiconductor Manufacturing Plants to Reduce Mean and Variance of Cycle-Time

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