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 …

Due to diversity and many possibilities for data collection in semiconductor manufacturing,
various complex machine learning approaches exist for different process steps. However, a …

Nowadays, in the domain of production logistics, one of the most complex planning
processes is the accurate forecasting of production and assembly efficiency. In industrial …

Predicting throughput times is of particular interest to production planners to schedule the
production flow or communicate reliable delivery times to customers. Most established …

The paper investigates into the intricacies of semiconductor manufacturing, a highly complex
process entailing a wide array of subprocesses and diverse equipment. Semiconductors are …

The industrial companies often use Key Performance Indicators (KPI) to follow up and
evaluate their process and success. One of the KPIs is the Overall Equipment Effectiveness …

Photolithography machines are the common bottleneck in the semiconductor manufacturing
system. The operation constraints in photolithography machines are very complicated …

In the manufacturing and assembly industries, including in the automotive industry, it is
particularly important that the monitoring of production efficiency takes place in real-time …

The fenestration industry experience increasing demand for customized products, shifting
market trends, and stricter regulations for energy-efficient windows. In order to meet these …

Günümüz rekabet koşullarında, kısıtlı kaynakları verimli bir şekilde kullanabilmek, geleceğe
dönük yatırımları belirleyebilmek için üretim süresi tahmini yapmak rekabet avantajı …