Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ejor.2005.02.052
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dc.titleA general framework on the simulation-based optimization under fixed computing budget
dc.contributor.authorLee, L.H.
dc.contributor.authorChew, E.P.
dc.contributor.authorManikam, P.
dc.date.accessioned2014-06-16T09:28:32Z
dc.date.available2014-06-16T09:28:32Z
dc.date.issued2006-11-01
dc.identifier.citationLee, L.H., Chew, E.P., Manikam, P. (2006-11-01). A general framework on the simulation-based optimization under fixed computing budget. European Journal of Operational Research 174 (3) : 1828-1841. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ejor.2005.02.052
dc.identifier.issn03772217
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54190
dc.description.abstractIn many real world problems, the design space is huge and the estimation of performance measure has to rely on simulation which is time-consuming. Hence, to find the optimal design in the design space based on the simulation output is not trivial. It is important to have a computing time allocation rule to decide how much effort to spend in sampling the design space, how many designs to sample, and how long to run for each design alternative within a given computing budget. In this paper, we propose a framework for making these allocation decisions. We use the problem of assemble-to-order (ATO) systems to demonstrate how this framework can be applied. The sample average approximation (SAA) method is chosen as the sampling method used in this application example. The numerical results show that this framework provides a good basis for allocation decisions. © 2005 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.ejor.2005.02.052
dc.sourceScopus
dc.subjectAssemble-to-order
dc.subjectOptimal computing budget allocation
dc.subjectRanking and selection
dc.subjectSample average approximation
dc.subjectSimulation
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.contributor.departmentTHE LOGISTICS INSTITUTE - ASIA PACIFIC
dc.description.doi10.1016/j.ejor.2005.02.052
dc.description.sourcetitleEuropean Journal of Operational Research
dc.description.volume174
dc.description.issue3
dc.description.page1828-1841
dc.description.codenEJORD
dc.identifier.isiut000240213800032
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