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.

Robust simulation-optimization using metamodels / Dellino, G; Kleijnen, Jpc; Meloni, Carlo. - (2009), pp. 540-550. (Intervento presentato al convegno 2009 Winter Simulation Conference, WSC 2009 tenutosi a Austin, TX nel December 13-16, 2009) [10.1109/WSC.2009.5429720].

Robust simulation-optimization using metamodels

MELONI, Carlo
2009-01-01

Abstract

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.
2009
2009 Winter Simulation Conference, WSC 2009
9781424457700
Robust simulation-optimization using metamodels / Dellino, G; Kleijnen, Jpc; Meloni, Carlo. - (2009), pp. 540-550. (Intervento presentato al convegno 2009 Winter Simulation Conference, WSC 2009 tenutosi a Austin, TX nel December 13-16, 2009) [10.1109/WSC.2009.5429720].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/16826
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