Optimal sequencing of test conditions in 2k factorial experimental design for run-size minimization

  • Authors:

  • H.-S. Jacob Tsao;Hongrui Liu

  • Affiliations:

  • Department of Industrial and Systems Engineering, San Jose State University, One Washington Square, San Jose, CA 95192-0085, USA;Department of Industrial Engineering, University of Washington, Seattle, WA 98195-2650, USA

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2008

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Abstract

The exponential growth of the number of test conditions (i.e., the ''run size'') of a 2^k factorial design makes the design prohibitively expensive for a large k. When only m of the 2^k effects/interactions are non-zero, only m test conditions are required for their estimation. However, both fractional factorial design and Taguchi method require 2^n test conditions, for some n=