Abstract
A newer application of data envelopment analysis (DEA) model with robust data envelopment analysis (RDEA) was presented for optimization of reaction variables of graft copolymerization of 2-hydroxyethyl methacrylate (HEMA) to Tamarindus indica seed polysaccharide (TSP). It helped to find out the most appropriate reaction conditions and variables (concentrations of HEMA and reaction initiator; temperature and time duration) for copolymerization. The data generated through the experimental work has been analyzed and indexed to predict the maximum %grafting. Sensitivity analysis was performed to check robustness of efficiency scores of CCR DEA efficient samples and a comparative analysis of the CCR DEA and RRDEA efficiency score has been done. The data obtained via real-time experiments and data predicted using computational modelling predictions were found to be in close vicinity.
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