{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:39:10Z","timestamp":1777901950360,"version":"3.51.4"},"reference-count":3,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[1999,9,1]],"date-time":"1999-09-01T00:00:00Z","timestamp":936144000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SIMULATION"],"published-print":{"date-parts":[[1999,9]]},"abstract":"<jats:p>The following competition was organized by the Business Section of the Netherlands Society for Statistics and Operations Research (VVS): maxi mize the output of a given simulation model by selecting the best combination of six inputs; only 32 runs are permitted. Twelve teams competed; these teams came from industry and academia. This paper is written by the winning team, ex plaining its design and analysis. That design pro ceeded in stages. First, a special design was used to estimate all main effects and two-factor inter actions (namely, Rechtschaffner's saturated de sign). Then quadratic effects were estimated by changing factors one at a time. Finally, the re sulting estimated second-order polynomial was used to estimate the optimal input combination. The paper presents a combination of design of ex periment techniques and common sense that may have more applications in solving real problems.<\/jats:p>","DOI":"10.1177\/003754979907300304","type":"journal-article","created":{"date-parts":[[2008,3,29]],"date-time":"2008-03-29T13:23:43Z","timestamp":1206797023000},"page":"168-173","source":"Crossref","is-referenced-by-count":9,"title":["Maximizing the Simulation Output: A Competition"],"prefix":"10.1177","volume":"73","author":[{"given":"Jack P. C.","family":"Kleijnen","sequence":"first","affiliation":[{"name":"Department of Information Systems (BIK)\/Center for Economic Research (CentER) School of Management and Economics (FEW), Tilburg University (KUB) Postbox 90153, 5000 LE Tilburg, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00d6zge","family":"Pala","sequence":"additional","affiliation":[{"name":"Department of Information Systems (BIK)\/Center for Economic Research (CentER) School of Management and Economics (FEW), Tilburg University (KUB) Postbox 90153, 5000 LE Tilburg, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[1999,9,1]]},"reference":[{"key":"atypb1","first-page":"569","volume":"9","author":"Rechtschaffner, R.L.","year":"1967","journal-title":"Technometrics"},{"key":"atypb2","volume-title":"Statistical Tools for Simulation Practitioners","author":"Kleijnen, J.P.C.","year":"1987"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1002\/9780470172445.ch6"}],"container-title":["SIMULATION"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/003754979907300304","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/003754979907300304","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T11:13:07Z","timestamp":1777633987000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/003754979907300304"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1999,9]]},"references-count":3,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1999,9]]}},"alternative-id":["10.1177\/003754979907300304"],"URL":"https:\/\/doi.org\/10.1177\/003754979907300304","relation":{},"ISSN":["0037-5497","1741-3133"],"issn-type":[{"value":"0037-5497","type":"print"},{"value":"1741-3133","type":"electronic"}],"subject":[],"published":{"date-parts":[[1999,9]]}}}