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Abstract Details
Activity Number:
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653
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Quality and Productivity Section
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Abstract - #303946 |
Title:
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Design of Experiments for Interpolation-Based Metamodels
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Author(s):
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Min Li*+ and Jack Chen
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Companies:
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California State University Sacramento and BASF Corporation
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Address:
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3635 Lewiston Rd., West Sacramento, CA, 95691, United States
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Keywords:
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Kriging Metamodel ;
Experimental Design
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Abstract:
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A metamodel is a simplified mathematical description of a simulation model that represents the system's input-output relationship with a function. In many situations, we may not need a single formula to describe the systems being simulated. Interpolation-based metamodels are useful for providing a simple and easy form to provide estimates at non-design points and to communicate the input-output relationship. This paper proposes a new approach to select an experimental design for interpolation-based metamodels. The algorithm dynamically increases the sample size and the number of design points so that the estimates obtained via the metamodel satisfy the pre-specified precision. An experimental performance evaluation demonstrates the validity of interpolation-based metamodels.
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