The bullwhip effect refers to a phenomenon in which the demand is gradually amplified in the order process of supply chain management, which is caused by the distortion of demand information. Focus on the one node enterprises in the supply chain, the paper constructs a new order-making rule based on the order-up-to method, and then builds an $H_\infty$ controller to attenuate the bullwhip effect. The method can reduce the overall cost of the supply chain. The order-making process is composed of two parts: order-making rules and demand forecasting. When the demand continues to rise, the safety stock status will diverge. A new order rule under the PI supplement rule is designed based on the order-up-to method. In addition, based on the $H_\infty$ norm of the system being the same as the definition of a bullwhip effect indicator in supply chain, the $H_\infty$ controller is used to replace the prediction function. The simulation results show that the proposed method can effectively reduce the bullwhip effect, and the enterprise inventory can always maintain in a stable state.