Title :
Real-Time Information Base as key enabler for Manufacturing Intelligence and “Industrie 4.0”
Author :
Luhn, Gerhard ; Habich, Dirk ; Bartl, Katrin ; Postel, Johannes ; Stevens, Travis ; Zinner, Martin
Author_Institution :
SYSTEMA Gmbh, Dresden, Germany
Abstract :
This paper provides an overview and details concerning a new and fundamentally based solution concept to support “real” real-time Fab analysis, fast new-product ramp and inherent knowledge discovery. Basic use cases and business drivers will be highlighted, and some insight will be given into a new and mathematically grounded system and methodology. Influences of database technologies will be discussed, and the research system of TU Dresden database group will be introduced. This is followed by a rough comparison with prior art systems, which highlights advantages of the new concept. This approach substantiates some core concepts of “Industrie 4.0”.
Keywords :
Big Data; data mining; real-time systems; semiconductor device manufacture; Big Data; Industrie 4.0; TU Dresden database group; business drivers; database technologies; grounded system; inherent knowledge discovery; product ramp; real-time Fab analysis; research system; Business; Database systems; Knowledge discovery; Manufacturing; Production; Real-time systems; Industrie 4.0; decompositional - Cyber-Physical - system model; linear system based information processing; real-time information bases; solution for “shortest algorithm problem”;
Conference_Titel :
Advanced Semiconductor Manufacturing Conference (ASMC), 2015 26th Annual SEMI
Conference_Location :
Saratoga Springs, NY
DOI :
10.1109/ASMC.2015.7164474
