LCA studies aim at an integrating system assessment as a comprehensive and holistic approach to prevent tradeoffs and guide users and decision makers for better informed decisions. The total life cycle approach aims at informing and supporting decision making and management support.To better inform the decision making process for product design or product optimization, reliable tools are necessary which mirror the complexity and provide enough concentrated information at the same time. These management tools also need either to be included into the existing technical and economical information at the same time, or, as a minimum, allow interfaces to those other disciplines.Often full LCA studies are too expensive and also to time intensive, as they could really serve as input into decision making. Therefore new approaches are inevitable to supply relevant information in time. Screening LCA's have been proposed from different sides. However, unreflected omissions or assumptions can be an additional source of uncertainties. Therefore it is essential to use experience based simulation approaches to better and faster describe the systems under consideration.The aim of this paper is to demonstrate a methodological approach reflecting the need for the inclusion of simulation approaches, also including the modeling of non-linear processes. On this basis reliable and future-oriented results can be generated within shorter time. This approach offers the potential to overcome the past-oriented descriptive LCA-studies. In addition, simulation techniques allow and easily give access to parameter variation and sensitivity analysis. Thus, the results are more stable and useful in a decision supporting environment.