SEMINAR: special seminar today

[Igor Kamenkovich <kamen@atmos.washington.edu>]

Tue, November 2, 3pm – 4pm
MSC 343
Title: Integrated Decision Making using Dynamic-Data-Driven Adaptive
Simulations (DDDAS)

Speaker: Nurcin Celik

------------------------------

Integrated Decision Making using Dynamic-Data-Driven Adaptive Simulations(DDDAS)
In simulation-based planning, timely monitoring, analysis, and control is
important not to disrupt a dynamically changing system such as supply chains, and distributed power
systems. To meet this temporal requirement, a Dynamic-Data-Driven Adaptive Simulation
(DDDAS) paradigm is proposed in this study, where 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. To this end,
comprehensive system architecture and methodologies are first proposed, where the components
include a real-time simulation, grid modules, a web service communication server, databases,
various sensors, and a real system. Abnormality detection, fidelity selection, fidelity
assignment, and prediction and task generation are enabled through the embedded algorithms developed in
this work. Grid computing is used for computational resources management and web services
are used for interoperable communications among distributed software components. The proposed DDDAS
system has been successfully demonstrated for preventive maintenance
scheduling and part routing scheduling in a semiconductor supply chain, reducing the average
waiting time of batches and increasing the machine utilization significantly. Current
research focuses on application of the proposed framework for load dispatching problem in
distributed electricity systems.
*Supported in part by research grants from the National Science Foundation.


NURCIN CELIK, Ph.D., is an assistant professor in the Department of
Industrial Engineering at the University of Miami. She received her B.S. degree in Industrial
Engineering from Bogazici University and M.S. and Ph.D. degrees in Systems and Industrial
Engineering from the University of Arizona. Her research interests lie in the areas of
integrated modeling and decision making for large-scale, complex and dynamic systems such as supply chains
and distributed electricity grids. Her dissertation work is on architectural design and
application of dynamic data-driven adaptive simulations for distributed systems. She has received
several awards including IIE Outstanding Graduate Research Award (2009), the Best Ph.D.
scientific poster award in the Ph.D. Colloquium at IERC (2009), the University of Arizona
Outstanding Graduate Student Award (2008, 2010), and Diversity in Science and Engineering Award
from Women in Science and Engineering Program (2007).




--
Dr. Igor Kamenkovich
Associate Professor
Division of Meteorology and Physical Oceanography
Rosenstiel School of Marine and Atmospheric Science
University of Miami
4600 Rickenbacker Causeway
Miami, FL 33149

ikamenkovich@rsmas.miami.edu
Tel: (305)421-4108
Fax: (305)421-4696


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