Please use this identifier to cite or link to this item: https://doi.org/10.1109/IEEM.2009.5373161
Title: Design of experiments for simulation models with stochastic constraints
Authors: Mu, S.
Yin, J.
Yuan, J.
Ng, S.H. 
Keywords: D-optimal design
Design of experiments
Projection design
Simulation
Sliding levels deisgn
Stochastic constraints
Issue Date: 2009
Citation: Mu, S., Yin, J., Yuan, J., Ng, S.H. (2009). Design of experiments for simulation models with stochastic constraints. IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management : 2094-2098. ScholarBank@NUS Repository. https://doi.org/10.1109/IEEM.2009.5373161
Abstract: Design of experiments is often used to better understand or improve the output measures of a simulation model. Traditional cuboidal and spherical designs have been effective when the factor input regions are known. However, often in practice, simulation models have additional stochastic constraints causing the input factor space to be restricted and irregularly shaped. This paper looks into several alternative designs in a two stage approach to study these models in the constrained regions. This approach is then applied to a (s,S) inventory simulation. ©2009 IEEE.
Source Title: IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
URI: http://scholarbank.nus.edu.sg/handle/10635/72311
ISBN: 9781424448708
DOI: 10.1109/IEEM.2009.5373161
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