The main purpose of this research is to demonstrate a newly created paradigm for improving production planning in semi-order-driven industries. The research results provide a clear explanation of the associated planning tasks, the order acceptance and the master production scheduling because their dynamic interactions are essential. Based on an analysis of decision situations among a number of semi-MTO-driven planning settings, we provide a framework consisting of separate interlinked quantitative models for order acceptance and master production scheduling using ATP and CTP while considering the contribution of the modeling and evaluation of both situations in a dynamic setting. Our approach is evaluated through a simulative analysis using empirical data from the parasol industry on web-based ERP using the Linux operation system.