In now a days, many companies have beam consider the adoption of Flexible Manufacturing Systems (FMS). This is specially caused by the new market conditions characterized by the reduction of the innovation time, great product variety, reduction of batch size and demand of quality.

The great concern by high automated production systems, like the FMS, the lack of models and computational programs to deal with problems of these systems and the need of computational tools that allow the assess of the FMS performance, are the origin and the main reasons for this research.

Two important aspects and problems associated to planning and operational control in FMS are addressed in this study. First, the lack of an appropriated methodology to easy treaty and assess the interrelationship between planning and operational control decisions in FMS due to many possibilities of control strategies and planning objectives. Nearly all of the current approaches treat separately the problems of this two phases generating planning solutions that are, many times, not feasible at the operational level. The second aspect is the scarcity of computational programs that incorporate models to solve the above problem and, at the same time are user friendly and have some degree of intelligence to help the analyst in this complex job.

In this study, we develop and implement a simulation model, incorporated of a dynamic allocation resource algorithm, which consider the state of the system at the decision moment. This model allow the user to assess the operational performance of the FMS, considering the relations between planning and operational levels. The computational prototype of this model, integrate the simulation tool with a intelligent module to help the results analysis and a graphical user interface.

During the study many experiments are made with the following purposes:
Investigate the FMS performance against the many combinations of operational polices and systems parameters;
Compare the results of the proposal approach with other studies that treat the same theme,
Get skill and knowledge with the purpose of incorporate it to the intelligent module of the prototype.
At the and of the study we made a application of the prototype addressing a solution of a FMS planning and control problem demonstrating the suitability and usefulness of the model.