Scheduling and management of material handling in functional production system are among the biggest challenges of logistics. Among several methods, linear programming gives exact solution to these kinds of problems, however, linear programming is rigid and requires specially trained personnel to operate. Fuzzy logic based systems—besides they work similarly to human thinking—seems to be easily implementable in such problems. In this paper we present a fuzzy signature based approach constructed on expert knowledge. Its results are compared to the results of linear programming in the same situations.