研究结论表明，使用本论文提出的方法，预测结果优于传统的预测方法，如凭借

The research conclusion shows that using the method proposed in this paper, the prediction results are better than the traditional prediction methods. For example, forecasting based on the experience of the forecaster, it effectively reduces the human error caused by the lack of experience of the forecaster and improves the accuracy of the forecast And practicality. Make D company spare parts classification more scientific and reasonable, and the safety stock quota has dropped significantly. At the same time, the optimized spare parts demand control method and supervision mechanism have curbed the generation of new sluggish spare parts inventory, and the company's spare parts inventory has begun to show a downward trend, moving towards a virtuous circle, further reducing the company's spare parts management cost and improving the company's economy benefit

The conclusion of the study shows that the prediction results are better than the traditional prediction methods, such as by virtue of the experience of forecasters, it effectively reduces the human error caused by the lack of experience of forecasters, and improves the accuracy and practicability of the prediction. Make The Classification of Spare Parts of Company D more scientific and reasonable, the safety inventory quota has dropped significantly. At the same time, the optimized spare parts demand control method and supervision mechanism, curbed the emergence of new sluggish spare parts inventory, the company's spare parts inventory began to show a downward trend, towards a virtuous circle, further reduce the company's spare parts management costs, improve the company's economic efficiency.

The research results show that the method proposed in this paper is better than the traditional prediction methods. For example, with the experience of forecasters, it can effectively reduce the human error caused by the lack of experience of forecasters, and improve the accuracy and practicability of prediction. The spare parts classification of D company is more scientific and reasonable, and the safety stock quota is greatly reduced. At the same time, the optimized spare parts demand control method and supervision mechanism have curbed the production of new sluggish spare parts inventory. The company's spare parts inventory began to show a downward trend, moving towards a virtuous cycle, further reducing the company's spare parts management costs and improving the company's economic benefits