For ring forgings, the production process cycle is long, the forming quality requirements are high, and there is a prominent problem of high energy consumption in the production process. Therefore, combined with the production scheduling model widely used by enterprises at present, on the basis of Kmeans algorithm and greedy algorithm, taking the raising temperature of heating furnace before the forgings were put into the furnace as the objective function, and the entering and  exiting temperatures of each process as the main regulating parameters, an energy-saving scheduling model was established. Then, by using this model, the production process of ring forgings was optimized by forging number, process number, entering furnace temperature of forgings, exiting furnace temperature of forgings,  heating time of forgings and other parameters, and the different production results before and after optimization were obtained. Furthermore, before optimization, the production data of heating furnace for randomly simulated artificial operation shows that the heating temperature of 1030 ℃ is wasted in the heating process, while after the experiment of the heating furnace operation optimized by the scheduling model, the temperature waste in the heating process reduces to 440 ℃. The results show that compared with the traditional artificial operation of the heating furnace process, the energy consumption of the ring forgings produced by the heating furnace process after the optimization of scheduling algorithm is reduced by 57.28% when the heating furnace is idling.