Abstract： The inventory policy for supply chain systems with remanufacturing was discussed. The existence of (s,S) type optimal inventory policy was proved. Under leadtime scenarios, the theoretical optimal policy is infeasible as a consequence of the lacking of the returning information of products. Data mining within the user phase was executed to solve this problem. Specification of user phase information that served to implementing optimal policy was articulated. Simulation experiments were conducted to verify the optimality of (s,S) type policy and the contribution of user phase information sharing to inventory cost reduction.
Key words：