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Activity Number:
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62
- New Directions in Computer Experiments
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 30, 2017 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract #324342
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Title:
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Robust Parameter Design Using Computer Experiments
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Author(s):
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V. Roshan Joseph* and Li Gu and Shan Ba and William Myers
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Companies:
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Georgia Institute of Technology and Wells Fargo & Company and Procter & Gamble Company and The Procter & Gamble Company
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Keywords:
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Experimental design ;
Gaussian process ;
Kriging ;
Optimal designs ;
Quality improvement ;
Space-filling designs
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Abstract:
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This article develops new experimental design methods for computer simulations involving noise factors. Most existing methods focus on uniformly distributing the points in the design space, which are not suitable for noise factors because they usually follow non-uniform distributions such as normal distribution. This would suggest placing more points in the regions with high probability mass. However, noise factors also tend to have a smooth relationship with the response and therefore, placing more points towards the tails of the distribution is also useful for accurately estimating the relationship. These two opposing effects make the experimental design methodology a challenging problem. We propose three possible solutions to this problem and demonstrate their advantages using simulated examples and a real industry example involving a manufacturing packing line.
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Authors who are presenting talks have a * after their name.
