%T Robust simulation-optimization using metamodels
%P 540 -550
%I IEEE
%D 2009
%L eprints756
%X Optimization of simulated systems is the goal of many methods, but most methods assume known environments. In this paper we present a methodology that does account for uncertain environments. Our methodology uses Taguchi's view of the uncertain world, but replaces his statistical techniques by either Response Surface Methodology or Kriging metamodeling. We illustrate the resulting methodology through the well-known Economic Order Quantity (EOQ) model
%A Gabriella Dellino
%A Jack P.C. Kleijnen
%A Carlo Meloni
%K Kriging metamodeling; Taguchi methodology; economic order quantity model; metamodels; response surface methodology; robust simulation optimization; simulated system optimisation; statistical techniques; uncertain environments; optimisation; response surface methodology; uncertain systems;
%R 10.1109/WSC.2009.5429720
%B Winter Simulation Conference (WSC)