A multi-period

multi-product planning optimization under uncertainty is discussed.Based on the discrete-time modeling method

a mixed integer linear programming(MILP)model

in which the nonlinear part is converted to linear problem using fuzzy possibility method is proposed.Meanwhile

the usefulness of MPC as a tactical decision policy is integrated to the model.The effectiveness of the proposed model is illustrated through a real world refinery supply chain.