The focus of this thesis is the internal order allocation of a warehouse system for the food industry. The warehouse is provided by a company that has its key competences in warehouse logistics and automation technology. The task is to decide which strategy delivers the best allocation result for the involved picking systems in accordance with the defined constraints. The implemented algorithms are tested on real data supplied by a productive warehouse. The basic ideas of the algorithms were either developed by the system provider or taken from the literature. The comparison of the implemented procedures through defined targets is one part of this thesis. The practical usability of the order allocation is tested by simulation programs. As we show in the last section, significant improvements of the performance of the distribution system where achieved through the approaches developed in this thesis. The next step after this thesis would be a more comprehensive optimization including the disposition of departure tours and picking waves.