The cost price of a final product depends on - among others - the cost of value added processes such as production supply. When planning the supply strategy and defining the parameters of the processes we face a lot of trade-off situations (e.g.: decision between kanban or other supply strategy, kanban quantity, production line loading cycle time, maximal number of picking items on picking lists, etc.). The aim of this paper is to list these decision situations and give adequate solutions on them. By means of mathematical modeling we define the optimal system parameter configuration of a production supply system where the total cost is minimal.