Research On The Technology Of Quick Quotation For Machine

In the fierce market competition, It is the key to attract more customer that Our ability to offer customers a fast and accurate way. If the offer is not timely or too high, it will make products uncompetitive, but, if the offer is too low, it will affect the profits of enterprises. Therefore, many companies are looking for how to build a fast and accurate quotation system.The quotation of machine Is a complex task, it contains several parts, such as quick configuration, cost estimating, quotations decision. Each part is very important, we need to seriously deal with them. In this paper, a method of combining the CBR technology and the BP neural network technology will be a good way to solve this problem.Product pricing from customer inquiry, customer demand in the second part of this product configuration processing, extraction of the technical parameters of the product as the characteristic parameters of the case, the weight of each characteristic parameter settings according to the customer’s requirements, using the nearest neighbor method case retrieval, case output is a list of product configuration, and further amend the retrieved case, the module the replacement case does not meet customer requirements, so as to achieve customer satisfaction, product configuration.The contents of the third part, to configure a product cost estimates. Analysis of the impact of changes in the cost of the new module cost factor determined in accordance with the characteristics of the different modules corresponding cost estimating module network structure and parameters, the actual data is selected as the sample data to train the network, through training cost estimate the stability of the network model. The total cost of various modules of the target product was summarized, and the final price of the product can be got combined with the purchase of the product strategy.In the fourth part of the text on the Quick Quote system for machine tool products. Designed the structure as well as the main features of the system, the development of the initial version of the system, and verify the system by running instance.Finally, Summarizes the research results of the CBR technology and neural network technology combined machine Quick Quote, and pointed out the inadequacies of which, pending further research and improvement.