Ever get the feeling that you are suffering from a data overload?

Ok, let me set the scene, I recently built a model, ran it, modified it, ran it again, tweaked it a bit, ran…you get the idea. So anyway, I am now sitting here staring at results from 10 key runs, with 3 KPIs each. That’s 30 individual pieces of data staring back at me. Which run and model set-up is optimum? Well, where do I start? Run 7 had excellent Throughput, but the Resources were very underutilized, run 3 had good Throughput and used the Resources well too, but then so did run 9…