Efficient data allocation for frequency domain experiments

  • Authors:
  • Susan M Sanchez;Prabhudev Konana

  • Affiliations:
  • Management Science and Information Systems, University of Missouri-St. Louis, School of Business Administration, St. Louis, MO 63121-4499, USA;Department of Management Science and Information Systems, The University of Texas at Austin, USA

  • Venue:
  • Operations Research Letters
  • Year:
  • 2000

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Abstract

Frequency domain experiments are efficient screening procedures for identifying important factors in simulation models. An empirical investigation involving a simple autoregressive system and a complex queueing system shows that allocating data unequally among the signal and noise runs may be more effective when the total data collection effort is limited.