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Content Provider | IEEE Xplore Digital Library |
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Author | Scholl, W. Boon Ping Gan Lendermann, P. Noack, D. Rose, O. Preuss, P. Pappert, F.S. |
Copyright Year | 2011 |
Description | Author affiliation: Infineon Technologies Dresden, Koenigsbruecker Strasse 180, 01099, GERMANY (Scholl, W.) || Dresden University of Technology, Institute of Applied Computer Science, 01062, GERMANY (Noack, D.; Rose, O.) || D-SIMLAB Technologies GmbH, Wiener Platz 6, Dresden 01069, GERMANY (Preuss, P.; Pappert, F.S.) || D-SIMLAB Technologies Pte Ltd, 8 Jurong Town Hall Road #30-04 JTC Summit, Singapore 609434, SINGAPORE (Boon Ping Gan; Lendermann, P.) |
Abstract | The ability to perform lot arrival forecast at work center level is a key requirement for pro-active FAB operation management. Visibility to this information enables preemptive resource allocation and bottleneck management. Today, the work center lot arrival forecast is achieved through the use of short term simulation technique in Infineon Dresden. High fidelity simulation model that includes detailed modeling feature such as attribute-based sampling procedure, dedication and temporary tool blocking is built automatically through the transformation of data queries from data sources. In this paper, we present the results of our model validation work, comparing the FAB and forecasted lot arrival of the defect density measurement work center. Due to the high capacity demand of automotive product that requires more than 20 inspection steps; engineering lots and preventive maintenance of DDM must be scheduled at the right time. This can only be achieved with high quality lot arrival forecast. |
Starting Page | 1927 |
Ending Page | 1938 |
File Size | 427568 |
Page Count | 12 |
File Format | |
ISBN | 9781457721083 |
ISSN | 08917736 |
e-ISBN | 9781457721090 |
e-ISBN | 9781457721076 |
DOI | 10.1109/WSC.2011.6147907 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-12-11 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Data models Engines Semiconductor device modeling Predictive models Production Load modeling Databases |
Content Type | Text |
Resource Type | Article |
Subject | Modeling and Simulation Computer Science Applications Software |
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