Design and Analysis of Computer Experiments with Branching and Nested Factors

GUEST LECTURER
Ms. Ying Hung

AFFILIATION
ISyE, Georgia Institute of Technology

ABSTRACT
The use of computer modeling and experiments is becoming popular
and widely applied to various areas, such as biology, environmental
science, and engineering. This research focuses on problems in computer
experiments with branching and nested factors.

In many experiments, some of the factors exist only within the level of
another factor. Such factors are often called nested factors. A factor
within which other factors are nested is called a branching factor. For
example, suppose we want to experiment with two processing methods. The
factors involved in these two methods can be different. Thus, in this
experiment the processing method is a branching factor and the other
factors are nested within the branching factor. Design and analysis of
experiments with branching and nested factors are challenging and have not
received much attention in the literature. Motivated by a computer
experiment in a machining process, we develop optimal Latin hypercube
designs and kriging methods that can accommodate branching and nested
factors. Through the application of the proposed methods, optimal
machining conditions and tool edge geometry are attained, which resulted
in a remarkable improvement in the machining process.

DATE & TIME
Tuesday, January 29, 2008 -- 11:00 AM

DURATION
1 hour

LOCATION
Executive Classroom