Data management in industry 4.0: State of the art and open challenges

TP Raptis, A Passarella, M Conti - IEEE Access, 2019 - ieeexplore.ieee.org
Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …

Virtual metrology in semiconductor manufacturing: Current status and future prospects

V Maitra, Y Su, J Shi - Expert Systems with Applications, 2024 - Elsevier
Abstract Advanced Process Control (APC) has become an increasingly pressing issue for
the semiconductor industry, particularly in the new era of sub-5nm process technology. To …

Data-driven approach for fault detection and diagnostic in semiconductor manufacturing

SKS Fan, CY Hsu, DM Tsai, F He… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Fault detection and classification (FDC) is important for semiconductor manufacturing to
monitor equipment's condition and examine the potential cause of the fault. Each equipment …

Bilateral LSTM: A two-dimensional long short-term memory model with multiply memory units for short-term cycle time forecasting in re-entrant manufacturing systems

J Wang, J Zhang, X Wang - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
Forecasting short-term cycle time (CT) of wafer lots is crucial for production planning and
control in the wafer manufacturing. A novel recurrent neural network called “bilateral long …

State estimators in soft sensing and sensor fusion for sustainable manufacturing

M McAfee, M Kariminejad, A Weinert, S Huq, JD Stigter… - Sustainability, 2022 - mdpi.com
State estimators, including observers and Bayesian filters, are a class of model-based
algorithms for estimating variables in a dynamical system given the sensor measurements of …

A survey of run-to-run control for batch processes

K Liu, YQ Chen, T Zhang, S Tian, X Zhang - ISA transactions, 2018 - Elsevier
Abstract Run-to-run (R2R) control is widely used in semiconductor manufacturing systems to
minimize the process drift, shift and variability. The R2R controller adjusts control actions or …

Hybrid feature selection for wafer acceptance test parameters in semiconductor manufacturing

H Xu, J Zhang, Y Lv, P Zheng - Ieee Access, 2020 - ieeexplore.ieee.org
Wafer acceptance test (WAT) is a key process of semiconductor manufacturing. The
collected testing parameters can be used in identification of wafer defects, improvement of …

Parallel machine scheduling with time constraints on machine qualifications

M Nattaf, S Dauzère-Pérès, C Yugma, CH Wu - Computers & Operations …, 2019 - Elsevier
This paper studies the scheduling of jobs of different families on parallel machines, where
not all machines are qualified (eligible) to process all job families. Originating from …

State of the art review on process, system, and operations control in modern manufacturing

D Djurdjanovic, L Mears… - Journal of …, 2018 - asmedigitalcollection.asme.org
Dramatic advancements and adoption of computing capabilities, communication
technologies, and advanced, pervasive sensing have impacted every aspect of modern …

Adaptive weight tuning of EWMA controller via model-free deep reinforcement learning

Z Ma, T Pan - IEEE Transactions on Semiconductor …, 2022 - ieeexplore.ieee.org
Exponentially weighted moving average (EWMA) controllers have been extensively studied
for run-to-run (RtR) control in semiconductor manufacturing processes. However, the EWMA …