In this research paper, the tablet strength as an indication of tabletability and tablet quality was examined and modelled as a function of different process parameters. The effects of the different process parameters of the various units of ConsiGmaTM −25 (i.e., wet granulation, drying, milling, blending and tabletting) were statistically examined. Then, a type-1 fuzzy based modelling framework based on the singular value decomposition-QR (SVD-QR) approach was developed and trained to mathematically map these parameters to the tablet strength. This structure was developed in a way that allows users to predict the tablet strength for tablets produced using different process parameters. Based on the results obtained, the statistical analyses show significant effects of the process parameters on the tablet quality. Furthermore, the proposed framework developed can be used to anticipate the tablet's strength successfully, where the performance measures in terms of the coefficient of determination and mean square error are 0.86 and 0.066, respectively. In addition, it can also provide users with linguistic understanding that can help in understanding as well as controlling the line.