Parameters Decision on the Product Characteristics of a Bike Frame

Parameters decision for products that can effectively reduce costs and enhance quality play an important role in product competitiveness. This study aims to discuss the parameters decisions of a bike frame. This study first applied the statistical method and simulation software ANSYS to acquire the experimental data of bike frames. The simulation processes of the experimental design used the response surface methodology (RSM), and then conducted data analysis to determine the optimal response surface according to the successful application of statistical analysis results. Finally, this study applied nonlinear programming to acquire the optimal parameters of a bike frame.