Abstract
Factor screening with statistical control makes sense in the context of simulation experiments that have random error, but can be run automatically on a computer and thus can accommodate a large number of replications. The discrete-event simulations common in the operations research field are well suited to controlled screening. In this paper, two methods of factor screening with control of Type I error and power are compared. The two screening methods are both robust with respect to two-factor interactions and nonconstant variance. The first method is an established sequential method called controlled sequential bifurcation for interactions (CSB-X). The second method uses a fractional factorial design in combination with a two-stage procedure for controlling power. The two-stage controlled fractional factorial (TCFF) method requires less prior information and is more efficient when the percentage of important factors is 5% or higher.
Original language | English (US) |
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Pages (from-to) | 126-139 |
Number of pages | 14 |
Journal | Journal of Quality Technology |
Volume | 39 |
Issue number | 2 |
DOIs | |
State | Published - Jan 1 2007 |
Keywords
- Computer experiments
- Design of experiments
- Discrete-event simulation
- Factor screening
- Sequential bifurcation
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering