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Productions logistics / Industry 4.0 / Factory Physics (m/f/x)
Topic: "Capacity corridors in production - an approach for model-based overall view and novel characterization of production"
01099 Dresden, Germany}', 5='{type=image, value=Image{width=800,height=428,url='https://www.systema.com/hubfs/Images/Offices/Dresden_Location.jpg',altText='',fileId=null}}', 6='{type=string, value=
With our headquarters in Dresden, we are strategically located in the largest center of microelectronic industries in Europe. As the capital of the German state of Saxony, Dresden is at the heart of “Silicon Saxony”, a term used to describe the region and its hundreds of microelectronics businesses.
Maintaining strong, collaborative relationships with local manufacturing companies and world-renowned universities (e.g. TU Dresden and HTW), Dresden is also the center of our R&D activities.
In addition to its high density of outstanding research institutions, Dresden is also well known for its history, beautiful baroque architecture, and broad collection of fine arts.
}', 21='{type=list, value=[{id=31544187646, name='MScha'}]}', 22='{type=number, value=1}', 24='{type=string, value=Unser Hauptsitz befindet sich in Dresden, der Hauptstadt des deutschen Bundeslandes Sachsen. Dresden ist das Herzstück von „Silicon Saxony“, Sachsens größtem Hightechnetzwerk und Europas größtem Mikroelektronikstandort.
Wir pflegen enge Kooperationsbeziehungen zu lokalen Fertigungsunternehmen und zu weltweit anerkannten Universitäten der Region (z. B. TU Dresden und HTW), wodurch Dresden das Zentrum unserer F&E-Aktivitäten ist.
Neben seiner hohen Dichte an herausragenden Forschungseinrichtungen ist Dresden auch für seine Geschichte, seine wunderschöne Barockarchitektur und seine große Sammlung an bildender Kunst bekannt.
}', 25='{type=string, value=Dresden (Deutschland)}', 26='{type=string, value=Dresden Headquarters}', 27='{type=string, value=Dresden (Deutschland)}', 28='{type=string, value=Germany}', 29='{type=string, value=Manfred-von-Ardenne-Ring 6}', 30='{type=string, value=01099}', 31='{type=string, value=Saxony}'}]
Deutsche Version verfügbar / German version available
About the Topic
Product and process complexity in semiconductor manufacturing continues to rise steadily. However, even highly automated fabs like Infineon suffer from unfavorable and growing variability and losses in production effectiveness. This leads to unscheduled and costly delays in deliveries to customers. A crucial factor is the actual available capacity of production. Although theoretically well known, there is still a lack of appropriate modeling and information model to generate an effective, model-based, real-time updating overall view of production.
The focus of this work is to analyze the material flow of production and explore how it relates to the actual production capacity available. A new, innovative information model is provided, which supplies all necessary data structures (the so-called holistic information model = HIM).
The goal is to explore a statistical modeling approach that effectively and easily provides an overall view of production. For this purpose, the Bayesian knowledge-based statistical modeling approach shall be investigated. This overall view will include, among other things, a comparison of capacity, production rate (throughput) and work in progress (WIP).
SYSTEMA will provide a complete software framework, including the holistic information model HIM. Sample production data is available. More information on current research together with Infineon.
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