eprintid: 756
rev_number: 12
eprint_status: archive
userid: 17
dir: disk0/00/00/07/56
datestamp: 2011-08-01 13:42:54
lastmod: 2011-10-07 08:21:48
status_changed: 2011-08-01 13:42:54
type: book_section
metadata_visibility: show
item_issues_count: 0
creators_name: Dellino, Gabriella
creators_name: Kleijnen, Jack P.C.
creators_name: Meloni, Carlo
creators_id: gabriella.dellino@imtlucca.it
creators_id: 
creators_id: 
title: Robust simulation-optimization using metamodels
ispublished: pub
subjects: HA
subjects: HB
subjects: QA
divisions: EIC
full_text_status: none
keywords: 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;
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
date: 2009-12
date_type: published
publisher: IEEE
pagerange: 540 -550
event_title: Winter Simulation Conference (WSC), Proceedings of the 2009
id_number: 10.1109/WSC.2009.5429720
refereed: TRUE
isbn: 978-1-4244-5770-0 
book_title: Winter Simulation Conference (WSC)
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5429720&isnumber=5429163
citation:   Dellino, Gabriella and Kleijnen, Jack P.C. and Meloni, Carlo  Robust simulation-optimization using metamodels.   In:  Winter Simulation Conference (WSC).   IEEE, 540 -550.  ISBN 978-1-4244-5770-0       (2009)