The use of endless carbon fiber reinforced plastics (CFRP) has a high potential for weight reduction because of its high performance in stiffness and strength. However, the processes to manufacture cfrp in a highly automated mass production can be a challenge. The draping of Carbon fiber fabrics into a complex 3D geometry, require sophisticated technologies. One of these technologies is the sequential draping process, which has the great advantage of being adaptable. It allows the operator to change the individual punches, sequences and moving directions in order to achieve the desired results in terms of fiber orientation and avoiding the formation of wrinkles. The optimization work to adapt and modify the tooling and to find the proper process parameters can be time consuming and costly. Therefore the use of modern draping simulation software is advised and can help to minimize the mold optimization cost and reduce the set-up time of the draping line. Such draping simulation software packages are commercially available, but the accuracy of precisely predicting the outcome of the preform process, depends very much on the accuracy of the material shear behavior data. This work is presenting the deficiencies of the state of the art methods for measuring the shear behavior and the consequences on the accuracy of the simulation output. As a result of this analysis a new method have been developed, to allow relevant process parameters, having a high influence on the shear resistance, to be considered. In that way, the simulation can be extended by practically relevant influencing parameters, leading to a more reliable and accurate simulation result, aiming to minimize the optimization and set-up time and cost, for new component going into automated series production.