The choice of the appropriate order processing strategy contributes significantly to the realization of economic and logistical goals of production companies. In practice, many companies decide on an order processing strategy based on qualitative criteria or experience, usually on a flat-rate basis for certain articles and order types or on a case-by-case basis for individual orders. In science, the problem of order processing strategy selection and the associated positioning of the customer order decoupling point has been investigated for quite some time. To simplify matters, however, assumptions are often made and decision-relevant criteria are sometimes not considered. In addition, the literature contains only a few rules for quantifying the influence of such criteria. The aim of the research project MoBAStra is to quantify the effects of different order processing strategies on competition-relevant target parameters, such as production costs (utilization, setup costs), inventory costs, adherence to delivery dates as well as the capacity flexibility required for this. For this purpose, in a first step, individual existing mathematical models are extended and new models are developed to describe specific cause-and-effect relationships. In the second step, a comprehensive and generally valid overall model is developed by combining various individual logistics and business models. This overall model enables the quantification of the interactions between different order processing strategies and the resulting economic and logistic target values. The implementation of the overall model in a user-friendly software demonstrator enables SMEs to analyze their internal supply chains independently and to make a scientifically sound decision regarding the selection of the order processing strategy.