| dc.description.abstract | ＂Motor＂ is an indispensable product of mankind and provides many dynamic demands. Recently, due to the drop in oil prices, the exploitation of the oil industry has become less, and this has affected the demand for motors. While the pressure on all parties has decreased, low-cost competition has become a norm. Therefore, the optimum capacity utilization is obtained from the stator impregnation process, and personnel is not subjectively judged in the capacity allocation, but the mathematical model method is used to increase the capacity utilization rate, thereby reducing the power consumption.
In this thesis, linear programming method and greedy algorithm are used to solve the optimization of stator impregnation process. In the research, it was discovered that this is an unbounded knapsack problem. The mathematical model was written using the Excel software-planning solving equation and the optimal output configuration was solved. We will use linear programming and greedy algorithms to find the best model. In this paper, three models are used: linear programming method, greedy method-output value, and greedy method-area model. The results of the preliminary analysis are best with the linear programming method. Then, the statistical method-paired t-test method was used to verify again. After comparing each model with the current situation, the results obtained proved that the linear programming method can have the best output value and provide the best results for this case company. Suggestions and choices. | en_US |