{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:37:15Z","timestamp":1777901835740,"version":"3.51.4"},"reference-count":9,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[1995,9,1]],"date-time":"1995-09-01T00:00:00Z","timestamp":809913600000},"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":[[1995,9]]},"abstract":"<jats:p>Increasing the run-length of a non- terminating steady-state simulation improves confidence in the results obtained. Yet the questions need to be asked: how long should a run be and what level of confidence is obtained? This paper describes an heuristic technique for selecting the run-length which enables the user to measure the level of confidence achieved. An heuristic technique has been developed deliberately to enable implementation by both expert and non- expert users.<\/jats:p>","DOI":"10.1177\/003754979506500303","type":"journal-article","created":{"date-parts":[[2007,3,18]],"date-time":"2007-03-18T03:46:49Z","timestamp":1174189609000},"page":"170-179","source":"Crossref","is-referenced-by-count":5,"title":["An Heuristic Technique for Selecting the Run-Length of Non-Terminating Steady-State Simulations"],"prefix":"10.1177","volume":"65","author":[{"given":"Stewart","family":"Robinson","sequence":"first","affiliation":[{"name":"Aston Business School Aston University Birmingham, B4 7ET United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[1995,9,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1177\/003754978704900304"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1057\/jors.1991.43"},{"key":"atypb3","volume-title":"Paper presented at TIMS\/ORSA Boston Meeting","author":"Robinson, S."},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.1057\/ori.1994.6"},{"key":"atypb5","unstructured":"Welch, P. (1983). \"The Statistical Analysis of Simulation Results .'' In: The Computer Performance Modeling Handbook (Lavenberg, S. ed.). NY: Academic Press, pp. 268-328."},{"key":"atypb6","volume-title":"Simulation Modeling and Analysis","author":"Law, A.","year":"1991","edition":"2"},{"key":"atypb7","volume-title":"Improve Quality and Productivity with Simulation","author":"Gogg, T.","year":"1992"},{"key":"atypb8","volume-title":"Successful Sinnulation: A Practical Approach to Sintulation Projects","author":"Robinson, S.","year":"1994"},{"key":"atypb9","volume-title":"The Simulation Project Adviser","author":"Wadsack, K.M.","year":"1994"}],"container-title":["SIMULATION"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/003754979506500303","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/003754979506500303","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T11:10:27Z","timestamp":1777633827000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/003754979506500303"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1995,9]]},"references-count":9,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1995,9]]}},"alternative-id":["10.1177\/003754979506500303"],"URL":"https:\/\/doi.org\/10.1177\/003754979506500303","relation":{},"ISSN":["0037-5497","1741-3133"],"issn-type":[{"value":"0037-5497","type":"print"},{"value":"1741-3133","type":"electronic"}],"subject":[],"published":{"date-parts":[[1995,9]]}}}