Simulation fusion

Authors:
Wai Kin (Victor) Chan;Lee W. Schruben;Barry L. Nelson;Sheldon H. Jacobson
Affiliations:
Rensselaer Polytechnic Institute, Troy, NY;University of California, Berkeley, IEOR, Univ. of California, Berkeley, CA;Northwestern University, Evanston, IL;University of Illinois, Urbana, IL
Venue:
Winter Simulation Conference
Year:
2009

Citing 8
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Abstract

The concept of data fusion (DF) has had a major impact on statistical methodology and practice within the US Department of Defense. In this paper we explore expanding this idea to include simulation modeling and analysis. Simulation fusion (SF) is the concept of combining data, models, experiments, and analyses to improve the outcome of simulation studies. In this paper, we propose an initial framework and discuss various SF schemes. We provide several examples to illustrate these ideas and discuss some of the potential benefits of simulation fusion.