Parts Produced Vs Total Downtime - Graphical Interpretation Hi all! I'm working on a project analyzing downtime for a manufacturing floor. The department makes between 6 and 8 millions parts per month with 10-18 thousand minutes of unplanned downtime collectively (changeovers, maintenance, jams, material changes, etc.). I've attached a representative graph I am currently using. The goal here is to trend downtime and trend number of parts produced. I feel the graph does a good job at trending both and shows a decent comparison between the two. Some ideas we had for improvement was instead of showing total downtime minutes above its point each month, displaying a scaled value for downtime minutes/parts produced (which is a fraction of a percent without scaling) as a value that can be displayed as percent change each month. That would allow us to see if we improved or not month to month. However, the value isn't very easy to interpret. The downtime line should never rise above the number of parts produced. Ideally they would mimic each other or the gap would get larger indicating downtime is going down and parts are going up (more efficient changeovers, less maintenance, better operator training etc.). I use other metrics such as OEE (Overall Equipment Effectiveness) to further analyze the area but right now I'm focusing on being able to make a comparison showing how well we improved or did not improve by this representative. This data is viewed monthly by department managers, plant managers, and occasionally vice presidents. My point is... how do you guys view this graph? What improvements would make this data easier to understand?