Let's assume the leadtimes in the pipeline differ dramatically. l_1 ... l_n-1 take just minutes and l_n takes some days. Maybe its a huge simulation or learnin

Let's assume the leadtimes in the pipeline differ dramatically. l_1 ... l_n-1 take just minutes and l_n takes some days. Maybe its a huge simulation or learning of a neural network. In this theory the leadtimes are getting normalized and multiplied. But in this pipeline, the process n is overweighting all the other processes, so that the leadtimes of the other processes are almost irrelevant compared to the leadtime of process n. a. Lets assume leadtime of process 1 is missed by 50%. So it takes an additional minute. b. Compared to process n, missing leadtime by 50%, taking an additional week. Expected Quality would be the same for a and b. But the overall leadtime will differ in one week.