NDLI: Sequential Monte Carlo-based fidelity selection in dynamic-data-driven adaptive multi-scale simulations (DDDAMS)

Content Provider	IEEE Xplore Digital Library
Author	Celik, N. Young-Jun Son
Copyright Year	2009
Description	Author affiliation: Systems and Industrial Engineering The University of Arizona Tucson, AZ, 85719, USA (Celik, N.; Young-Jun Son)
Abstract	In DDDAMS paradigm, the fidelity of a complex simulation model adapts to available computational resources by incorporating dynamic data into the executing model, which then steers the measurement process for selective data update. Real-time inferencing for a large-scale system may involve hundreds of sensors for various quantity of interests, which makes it a challenging task considering limited resources. In this work, a Sequential Monte Carlo method (sequential Bayesian inference technique) is proposed and embedded into the simulation to enable its ideal fidelity selection given massive datasets. As dynamic information becomes available, the proposed method makes efficient inferences to determine the sources of abnormality in the system. A wparallelization frame is also discussed to further reduce the number of data accesses while maintaining the accuracy of parameter estimates. A prototype DDDAMS involving the proposed algorithm has been successfully implemented for preventive maintenance and part routing scheduling in a semiconductor supply chain.
Starting Page	2281
Ending Page	2293
File Size	1165638
Page Count	13
File Format	PDF
ISBN	9781424457700
e-ISBN	9781424457717
DOI	10.1109/WSC.2009.5429195
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Real time systems Large-scale systems Sensor systems Bayesian methods Parameter estimation Prototypes Inference algorithms Scheduling algorithm Preventive maintenance
Content Type	Text
Resource Type	Article

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