Sintering process is an important step in iron and steel manufacturing. Sinter is the main raw material for iron making in the blast furnace. Productivity of Sinter plant, comprehensive coke ratio, Quality of Sinter, specific power consumption and stack emissions are output parameters in a sintering process. In this paper, Input material composition and sinter machine operating parameters are analyzed clearly to get sintering mechanism. The present work examined is identification of various critical parameters of sinter plant in an integrated steel plant by utilizing response surface method based onGRA integrated with PCA approach. GRA works like a discovery idea where known and obscure components are aggregated to get optimum level of the multiple responses. GRA utilizes normalization of values to compute grey relational coefficient. Initially data on input and output parameters considered based on the literature survey and the data on these parameters are collected from sinter plant operations. Grey relation coefficients of the output parameters are obtained from grey relation analysis. Then, the grey relation coefficients are subjected to principal component analysis to derive the principle component scores which represent the aggregated response of multiple output variables. Finally, response surface methodology is implemented by considering the input parameters of sinter plant as factors and PCA score as response to analyze the impact of input parameters on the sinter plant aggregated output parameters of sinter plant.
