This paper deals with the cyclic scheduling problem for Flexible Manufacturing Systems (FMS) and presents a new Multi-Agent Model for computing the transient states between successive cyclic productions (called transient inter-productions). It is composed of cooperating agents aiming to minimize the global makespan while reducing temporal complexity. The use of Artificial Intelligence techniques, Multi-Agent Systems and Production management makes our model very original. Indeed, the planning phase allows, in the cyclic context, determining the cyclic productions to respect the initial demand. These cyclic productions have to be sequenced each one in relation to the others. Once this operation done, the transient state allowing going from a cyclic state to the following one has to be determined and optimized.