Title | ||
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Implementation of a simulation-based short-term lot arrival forecast in a mature 200mm semiconductor fab |
Abstract | ||
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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. |
Year | DOI | Venue |
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2011 | 10.1109/WSC.2011.6147907 | Winter Simulation Conference |
Keywords | Field | DocType |
model validation work,high capacity demand,work center level,high quality lot arrival,work center lot arrival,forecasted lot arrival,engineering lot,high fidelity simulation model,simulation-based short-term lot arrival,defect density measurement work,lot arrival forecast,semiconductor fab,databases,operations management,engines,predictive models,data model,technological forecasting,simulation model,production,data models,production management,prediction model,semiconductor device modeling,model validation,preventive maintenance,inspection | Production manager,Technology forecasting,High fidelity,Data modeling,Bottleneck,Visibility,Simulation,Computer science,Resource allocation,Preventive maintenance,Reliability engineering | Conference |
ISBN | Citations | PageRank |
978-1-4799-2077-8 | 3 | 0.46 |
References | Authors | |
3 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wolfgang Scholl | 1 | 62 | 8.06 |
Daniel Noack | 2 | 27 | 3.76 |
Oliver Rose | 3 | 3 | 0.46 |
Boon Ping Gan | 4 | 329 | 34.25 |
Peter Lendermann | 5 | 219 | 25.96 |
Patrick Preuss | 6 | 12 | 4.16 |
Falk Stefan Pappert | 7 | 4 | 2.18 |