Methodologies are built upon fundamental assumptions (called paradigms) which are rarely questioned within a respective community. When applying a methodology without being aware of these assumptions we risk accepting wrong conclusions (abduction risk). Therefore this paper proposes that the development of valuable simulation models strongly depends on the sound alignment of purpose, object and methodology. In order to align these dimensions and in the light of upcoming tools capable of multi-paradigm-modeling a clear conception of the available methodologies, their differences and suitability becomes a necessity. In the context of modeling and simulating of socio-technical systems three methodologies seem reasonable. Next to System Dynamics (SD) these are Agent-based (AB) and Discrete-Event (DE) modeling and simulations approaches. The following paper analyzes and compares all three approaches in order develop an initial concept idea for an orientation framework which aligns purpose, object characteristics and methodology for choosing and/or combining suitable modeling approaches.