Semiconductor industry's transformation path under circular economy: Evidence from micro-level efficiency evaluation
Y Pan, Y Song, CC Zhang, Q Zhu, J Wu - Computers & Industrial …, 2024 - Elsevier
Semiconductors are the cornerstone of rapid information flow in the circular economy era
and are crucial for society as a whole. Improving the efficiency and achieving sustainable …
and are crucial for society as a whole. Improving the efficiency and achieving sustainable …
Turning logs into lumber: preprocessing tasks in process mining
Event logs are invaluable for conducting process mining projects, offering insights into
process improvement and data-driven decision-making. However, data quality issues affect …
process improvement and data-driven decision-making. However, data quality issues affect …
Development of a suspiciousness measure with reduced redundancy for screening machine sets in serial-parallel multistage manufacturing processes
In serial–parallel multistage manufacturing processes (SP-MMPs), identifying root cause
machine sets (MSs) that contribute to defective product production is crucial for improving …
machine sets (MSs) that contribute to defective product production is crucial for improving …
Exploiting a combined process mining approach to enhance the discovery and analysis of support processes in manufacturing
Recently, production plants have become very complex environments, in which the final
output is the result of the favourable interplay of several processes. Successful production …
output is the result of the favourable interplay of several processes. Successful production …
Manufacturing process analysis framework for process mining: case study of fully automated factory applications
Y Lee, J Shin, W Lee - The International Journal of Advanced …, 2025 - Springer
This paper presents a data-driven approach to improving the productivity of manufacturing
companies operating under Make-To-Order (MTO). In this study, a comprehensive analysis …
companies operating under Make-To-Order (MTO). In this study, a comprehensive analysis …
Feature Extraction From Diffraction Images Using a Spatial Light Modulator in Scatterometry
J Li, HF Kuo - IEEE Transactions on Semiconductor …, 2024 - ieeexplore.ieee.org
The continuous miniaturization of semiconductor devices has increased the demand for
advanced process control technologies. This process requires real-time measurement …
advanced process control technologies. This process requires real-time measurement …
Quality-aware resource model discovery
Context-aware process mining aims at extending a contemporary approach with process
contexts for realistic process modeling. Regarding this discipline, there have been several …
contexts for realistic process modeling. Regarding this discipline, there have been several …
A taxonomy of log preprocessing techniques in process mining
Y Liu - 2024 - studenttheses.uu.nl
Context-Process Mining is a discipline that intersects business process management and
data science. Event logs are extracted from information systems and analyzed through …
data science. Event logs are extracted from information systems and analyzed through …
A Data-Driven Methodology for Analyzing Field Nonconformities in Semiconductor Production Applied to a Brazilian Manufacturer
The stages of the semiconductor production chain range from design and production to field
monitoring and customer service. Failure analysis of products on the market is essential to …
monitoring and customer service. Failure analysis of products on the market is essential to …
Graphical approach of equipment health monitoring using network analysis
W Ki, M Choi, Y Lee, J Park, K Yoon… - 2023 34th Annual …, 2023 - ieeexplore.ieee.org
As semiconductor devices become more complex, the amount of sensor data from
manufacturing equipment also increases, resulting in an increase in the number of abnormal …
manufacturing equipment also increases, resulting in an increase in the number of abnormal …