Modeling plays an increasingly important role in the life-cycle of systems, starting from the design stage, as well as important in the process of studying an unfamiliar, existing system. Complex systems are difficult to model, making it harder for users to deeply understand their intricate behavior. Moreover, in many cases the system may exhibit complex computational and stochastic behavior, critical to truly representing the system. Despite existing modeling methodologies contain behavioral diagrams aimed to describe the systems' changes over time, they are still static and majority of them do not fully reflect the behavior of systems in spatio-temporal space in a manner that is close to conceived reality. Similarly, these methodologies do not offer an ability to fully model the quantitative aspects of the system, or offer such ability at the expense of simplicity or generality of the methodology. We offer two complementing concepts, Vivid OPM and OPM Matlab Layer, which address the dynamic display and quantitative aspects by enhancing Object Process Methodology (OPM) to better reflect these aspects while keeping the holism and simplicity of OPM.