Research And Application On Design Methodology For Engineering-to-Order Product

The Mass Customization which will replace The Mass Production becomes the mainstream producing mode in the 21 century. Comparing with other classifying methods in the Mass Customization, the Customer Order De-coupling Point (CODP) is used widely. ETO( Engineering-to- Order) product which is one of the models classified by the CODP is very complex. At present, the ETO development system is not very efficient. So the article researches the design theory and design methodology of ETO product systematically, the result will improve the theory level of design methodology efficiently.At first, the article analyses the Customer Requirement and the Engineering Characters of ETO product. Then, on the base of designed product family, using the configuration design based BP(Error Back Processing) neural network to develop the key parts for the ETO product, and using case retrieval based on the improved TOPSIS(Technique for Order Preference by Similarity to Ideal Solution) technique to accomplish whole layout of ETO product. At last, dealing the above two results with variant design, the ETO product will be get.The article contributes to the ETO design methodology and design theory in following four aspects:Customer Requirement and technique character analysis: on the base of referenced and improved the AHP (analytic hierarchy process), the article brings forward an arithmetic to determine the importance of Customer Requirement and Engineering Character based on the relative matrix of HOQ(House of Quality). Using this arithmetic can get changeless and no rank reversal importance of customer requirement. The results is rational and objectiveETO product family layout: On the base of dynamic clusters of the ETO product by using fuzzy clustering method, the article puts forward a method to calculate the product family right degree, the right degree can reflects product family datum statistical rule and engineering characters. Configuration design: The article puts forward the configuration design based on BP neural network, using it to simulate ETO design can get key modules structure of ETO product intelligently.Case retrieval: the article can find out a optimal reference case by using case retrieval based on the improved TOPSIS technique, the method overcomes the rank reversal of TOPSIS. The result can redound to the whole layout design of ETO product.Based on the above knowledge, combining with Access database, Solidworks and Matlab, VB language is used to developed the prototype system, the system can be looked as a platform for ETO product design. The validity of the system has been proved by some cases.