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Enormous gains in efficiency over the last decade have pushed perovskite solar cells towards the cusp of entering into the mass production phase. Given the solution-phase processability and low energy intensity of several techniques, many techniques have been explored to manufacture these cells and modules. Among them, inkjet printing has shown potential for fabricating all the active layers while also achieving higher efficiencies along with the benefits of lower cost and high material efficiency. In this article, we focus on the application of mathematical modeling of the process and understanding the impacts of different decision variables on key performance indicators at various levels. In particular, the screening of decision variables space and their effect on final key performance indicators related to the complete solar module are discussed, highlighting the effectiveness and limitations of using such mechanistic models for manufacturing system optimization. [Display omitted] • Decision variables screening for inkjet printing of perovskite solar cells. • Application of mechanistic model for inkjet printing to manufacture perovskite solar cells. • Impact analysis on module key performance indicators (KPIs). [ABSTRACT FROM AUTHOR]