The major purpose of this paper is to introduce a certain approach for solving the stochastic VOP with random variables in both the objective functions and the constraints. This approach combines the techniques of both the stochastic programming and multiobjective programming in two stages. One of them, the stochastic VOP is transformed into its equivalent deterministic VOP, and the other one, the efficient solutions are generated by transforming the deterministic VOP into a problem with only one objective function.