Research on Selection Method of Product Configuration Program

To satisfy the customer’s requirements, the linear optimization model is established. Using the Mat lab as the optimized tool, the optimized solutions are obtained. A universal normalization method is chosen to normalize the binary vectors. The Technique for Order Preference by Similarity to Ideal Solution method is applied to configuration field to get “ideal product” of the ideal solution. The compositor of configuration programs selection is obtained based on the customer’s personalized requirements after calculating the effectiveness of programs. With the analysis of the existed modules of enterprises, a method to find the most similar combination product to satisfy the customer requirements is presented. An example is given to validate the feasibility of the method.