Abstract Details
Activity Number:
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133
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Type:
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Contributed
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Date/Time:
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Monday, August 4, 2014 : 8:30 AM to 10:20 AM
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Sponsor:
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Quality and Productivity Section
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Abstract #312457
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View Presentation
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Title:
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Robust Optimization of Biological Protocols
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Author(s):
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Patrick Flaherty*+ and Ronald W. Davis
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Companies:
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Worcester Polytechnic Institute and Stanford University
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Keywords:
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Experimental Design ;
Robust Parameter Design ;
Response Surface Methods ;
Process Improvement ;
Analysis of Designed Experiments
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Abstract:
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When conducting high-throughput biological experiments, it is often necessary to develop a protocol that is both inexpensive and robust. Standard approaches are either not cost-effective or arrive at an optimized protocol that is sensitive to experimental variations. We show here a novel approach that directly minimizes the cost of the protocol while ensuring the protocol is robust to experimental variation. Our approach uses a risk-averse conditional value-at-risk criterion in a robust parameter design framework. We demonstrate this approach on a polymerase chain reaction protocol and show that our improved protocol is less expensive than the standard protocol and more robust than a protocol optimized without consideration of experimental variation.
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