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Title: A general framework on the computing budget allocation problem
Keywords: Simulation, Ranking and Selection, Optimal Computing Budget Allocation, Assemble-to-Order, Sample Average Approximation
Issue Date: 14-Jun-2004
Citation: PUVANESWARI A/P MANIKAM (2004-06-14). A general framework on the computing budget allocation problem. ScholarBank@NUS Repository.
Abstract: Because the design space is huge in many real world problems, estimation of performance measure has to rely on simulation which is time-consuming. Hence it is important to decide how to sample the design space, how many designs to sample and for how long to run each design alternative within a given computing budget. In our work, we propose an approach for making these allocation decisions. This approach is then applied to the problem of assemble-to-order (ATO) systems where the sampling average approximation (SAA) is used as a sampling method. The numerical results show that this approach provides a good basis for decisions.
Appears in Collections:Master's Theses (Open)

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