Due to the advances in the digitalization process of the manufacturing industry and the
resulting available data, there is tremendous progress and large interest in integrating …

Big data analytics is the journey to turn data into insights for more informed business and
operational decisions. As the chemical engineering community is collecting more data …

Many studies on the prediction of manufacturing results using sensor signals have been
conducted in the field of fault detection and classification (FDC) for semiconductor …

Defect pattern recognition (DPR) of wafer maps is critical for determining the root cause of
production defects, which can provide insights for the yield improvement in wafer foundries …

The development of information technology and process technology have been enhanced
the rapid changes in high-tech products and smart manufacturing, specifications become …

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 …

For decades, industrial companies have been collecting and storing high amounts of data
with the aim of better controlling and managing their processes. However, this vast amount …

Root cause analysis (RCA) is the process through which we find the true cause of a
problem. It is a crucial process in manufacturing, as only after finding the root cause and …

Manufacturing is undergoing a paradigmatic shift as it assimilates and is transformed by
machine learning and other cognitive technologies. A new paradigm usually necessitates a …

Nowadays, more attention has been placed on cost reductions and yield enhancement in
the semiconductor industry. During the manufacturing process, a considerable amount of …