Abstract
A detailed discrete-event simulation model is extensively utilized by a major chemical process facility to evaluate new plant designs. This model is further exploited using known statistical techniques to provide valuable sensitivity analysis feedback to engineers for process analysis and improvement. A framework is proposed to guide the implementation and application of multivariate statistics and simulation metamodels to analyze simulation output of multiproduct batch processes.
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