  In this study we introduce a new method to solve the Dynamics Facility Layout
Problems (DFLPs). To represent each layout, we use the slicing tree method
integrated with our proposed heuristic to obtain promising initial solutions.
Then, we consider the case of adding new departments into the current layout
with stochastic flows. We use simulation to model the complexity of stochastic
nature of the problem. To improve the quality of the initial solution a genetic
algorithm is joined with the simulation module. Finally, to demonstrate the
performance of our method, we solve several cases existing in the literature to
show the efficiency of our algorithm.
