Evaluation and Prediction of Market Fit for Electric Motor Products Based on QFD and Improved TOPSIS Method

This study employs the Quality Function Deployment (QFD) method as a basis for evaluating and predicting the market applicability of three competitive electric motors, and employs a multi-criteria decision-making method to quantitatively evaluate and rank the three products. Specifically, the study uses Siemens, ABB and WEG electric motors as examples and proposes a product evaluation model based on QFD and an improved Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). User requirements are obtained through survey methods, and the weights of user requirements are calculated using an improved entropy weighting method. Then, the design requirements and design schemes are determined based on the QFD method. Finally, the TOPSIS method is improved to rank the product schemes and determine the final market applicability ranking. The experimental results and comparative studies demonstrate that the improved TOPSIS method overcomes the shortcomings of traditional methods, and verifies the efficiency, scientificity, and rationality of the product evaluation model based on QFD and improved TOPSIS.