Interaction Graphs For A Two-Level Combined Array Experiment Design

  • M. L. Aggarwal (University of Southern Maine)
  • Bisham C. Gupta (University of Southern Maine)
  • S. Roy Chaudhury (University of Southern Maine)
  • H. Fred Walker (University of Southern Maine)


In planning a 2k-p fractional factorial experiment, prior knowledge may enable an experimenter to pinpoint interactions which should be estimated free of the main effects and any other desired interactions. Taguchi (1987) gave a graph-aided method known as linear graphs associated with orthogo-nal arrays to facilitate the planning of such experiments. Since then the graph- aided method has been enhanced by various authors such as Li et al (1991), Wu and Chen (1992), Robinson (1993), and Wu and Hamada (2000). In this paper, we propose an algorithm for developing all possible non-isomorphic interaction graphs for combined arrays.

Keywords: research|statistical methods

How to Cite:

Aggarwal, M. L. & Gupta, B. C. & Chaudhury, S. R. & Walker, H. F., (2002) “Interaction Graphs For A Two-Level Combined Array Experiment Design”, The Journal of Technology, Management, and Applied Engineering 18(4).



Published on
31 Jul 2002