Distribution decisions play an important role in the strategic planning
of supply chain management. In order to use the most proper strategic decisions
in a supply chain, decision makers should focus on the identification and management
of the sources of uncertainties in the supply chain process. In this paper
these conditions in a multi-period problem with demands changed over the
planning horizon is considered. We develop a non-linear mixed-integer model
and propose an efficient heuristic genetic based algorithm which finds the optimal
facility locations/allocation, relocation times and the total cost, for the
whole supply chain. To explore the viability and efficiency of the proposed
model and the solution approach, various computational experiments are performed
based on the real size case problems.