In this applied research, an experimental study has been conducted to develop a statistical-mathematical based correlation for assessing consistency and processing time of a robotized manufacturing cell simulating of an automated manufacturing system process such as the robotic leaser cutting using an educational robotics test-cell. The correlation is to investigate contributions of programming parameters on the performance of robotized work-cell. Processing time has been used to model the manufacturing cycle time and consistency of the operation outs has been used to model the quality in terms cutline consistency. A set of statistical relationships have been used to simulate consistency and cycle time in order to tackle the variability of proposed sources as pieces of time and dimensions that need to be processed in the loaded parts the work-cell; in addition the relationship that suggestively correlates the impacts. A set of experimental tests has been conducted responding to the predicted formulas for the cycle time and consistency. Experimentation factors that have been leveled from minimal to maximal values are selected based on the robot’s computer operating system in terms of processing speed, motion properties, and termination types the default characters of the programming. Analysis the results shows that the correlation can be used to tradeoff the programming solutions objectively depending on the task design requirements. The contribution of this research work is to introduce a new depiction of optimizable factors of robotic computer programs that directly affect the performance criteria.