Developing a fuzzy ANP model for selecting the suitable dispatching rule for scheduling a FMS

The scheduling of production in flexible manufacturing systems has been extensively researched over the past years. There are many models such as MODM and heuristics, have been developed by researchers for scheduling a FMS. Scheduling a FMS is a MCDM problem contains many criteria. Also there are many dispatching rules for scheduling. In this paper we develop a model for selecting the best dispatching rule with respect to criteria and system conditions. In most conditions there some inner dependencies among criteria so we cannot use AHP. In this paper we develop an ANP model to consider the inner decencies among criteria. Finally, we apply the proposed model to prove the applicability of the model.