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Business Intelligence / Industry 4.0 / Holistic Information (m/f/x)
Topic: "Analysis of the relationship between queues and WIP (Work in Progress / Circulating Inventory) in manufacturing operations"
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. One reason for this is a growing gap regarding adequate information modeling of the manufacturing process - even in highly automated fabs.
The focus of this work is to analyze the relationship between queues and WIP (Work in Progress). This is supported and enabled by a new, innovative information model, called the holistic information model (HIM). HIM provides, for the first time, all the necessary data structures to thoroughly explore this previously misunderstood relationship. Methods of causal inference should be defined and implemented as the work progresses. This may (but need not) include the use of new machine learning methods. SYSTEMA will provide a complete software framework, including the holistic information model HIM.1 Sample production data is available. More information on the current research together with Infineon.
1 SYSTEMA developed a new methodology and system to pre-aggregate and represent production data in an optimized manner: the holistic information model (HIM). This method enables to access data for any kind of analysis in a most efficient manner (G. Luhn and A. Oszuszky, "Information Holism – a New Way to Close the Information Gap," 2019 3rd International Conference on Advanced Information and Communications Technologies (AICT), Lviv, Ukraine, 2019, pp. 101-107.; online: https://ieeexplore.ieee.org/abstract/document/8847757).