Production quality and process efficiency are the two main drivers that lead any industrial
strategy. To ensure product quality, a duality historically existed between two approaches …

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A long batch process typically runs for several hours to produce different process outcomes.
During the entire duration of the process, several sensor data are recorded involving …

In this dissertation, we present new methodologies in machine learning for sparse solutions
and the applications to semiconductor manufacturing processes. First, we present a new …

Sammanfattning This Master's Thesis examined the predictive maintenance industry and
focused on designing a business model for machine learning based predictive …

Due to the advancements in the Information and Communication Technologies field in the
modern interconnected world, the manufacturing industry is becoming a more and more …

La complexification du processus de fabrication des puces électroniques rend nécessaire
un contrôle de qualité toujours plus performant. Pour ce faire, des modèles d'apprentissage …

The aim of the thesis is to build a system of data collection and analysis, through the
integration of a distributed storage and processing system and machine learning …

This research explores the intersection of facility layout and vehicle routing, beginning with a
study on a real-world semiconductor manufacturing facility layout problem (FLP), followed by …

Advanced Monitoring Systems are fundamental in advanced manufacturing for control,
quality and mainte nance purposes. Nowadays, with the increasing availabil ity of data in …