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Traditional approaches including simulation, optimization, heuristics have solved complex manufacturing issues which are modeled or formulated based
on human understanding and experience. However, the answers cannot fully explain the real factory situation. Machine Learning fills in the gap with big
data analysis.
Learn and anticipate system behavior by analyzing
daily data gathered by systems and sensors.
Our technical expertise transforms data into insights,
optimizes manufacturing processes and supply chain
operations.
Our simulation technology synchronized
with real factory data and operational rules
leverages ML to train data.
As an extension of DevOps integrating
code-test-deploy processes, MLOps pipeline
incorporates additional data-model steps for
training an ML model. Our technology streamlines
DevOps and MLOps and supports agile development,
reliable operations, and continuous improvement.
87.9%92.2%
Apply machine learning algorithms for effective optimization
of standby time analysis. Identify key weight factors to
address planning and scheduling challenges, streamline
bottlenecks, and decrease WIP bubbles.
Our ML model has been trained with historical data as well
as accurate simulation results.
As the global competition in the display industry intensifies, the product spectrum requiring a specific technology diversifies.
In this article, we introduce a case study in which VMS constructed a real-time scheduler (RTS) for a global top display company. See how the RTS system combines simulation and optimization techniques to overcome ever-changing fab operation strategies.
DownloadDiscover our trusted skills
and core competency values.
Our team has more than 20 years of experience implementing and enhancing major semiconductor & display companies' planning and scheduling systems.
Our consulting team is highly qualified as 60% of our consultants and software engineers hold Masters or Ph.D. degrees in industrial engineering or computer science.
Our data scientists understand the different challenges that global leading semiconductor manufacturers face and created an optimal ML model considering these requirements. The use of reliable simulation data accelerates ML training while utilizing historical data.
Our global team helps you innovate to another level.
