This work proposes a framework based on a discrete event simulation to evaluate Demand Driven MRP (DDMRP) performances in both in-vivo and in-vitro experiment. The target is to use exactly the same modeling environment to evaluate particular points risen in industrial cases. As industrial cases often present a high level of complexity, it is challenging to be able to define performance triggers of their production systems. Our framework proposes to use a simpler case in the in-vitro stage but in the same conditions to explain phenomenon emerging from the in-vivo stage. We propose as an illustration to explain triggers of couterperformance of DDMRP found in a industrial case with a specific context of low but regular volume and a jobshop configuration.