A Study On Processing Costs Rapid Estimation Method Of The Clothing Product

With the unceasing enhancement of Consumer living standard and Clothing market has become more competitive, under the environment of the pursuit of rapid response capability, the clothing enterprises in order to improve economic efficiency, not only need to improve product quality and production efficiency, but also need for effective costs control and management. In the process of offer order, quick quoted price is one key of the clothing enterprises to achieve rapid response, and how to rapid estimate processing costs of clothing product which has become one difficulty of the works. Therefore, estimate the processing costs of clothing product as the main research purpose in this paper, method of the study as the core content, comprehensive use of artificial intelligence techniques and data mining techniques, attempt to make a new contribution to study rapid estimate the processing costs of the clothing product.Cost estimation study at home and abroad have achieved certain results, all of the methods hard to use in the labor-intensive garment industry. Detailed cost estimation has high estimation accuracy, but its requires a lot of product information and cost more time, which is obviously not suitable for the processing cost of the clothing product; rapid cost estimation methods which estimate quickly and low cost, but its poor estimation accuracy. Based on this, the paper proposed self-adaptive ant colony wavelet neural network method as the cost estimate method and using case studies for tested the method.In the paper, the study about rapid estimate processing costs of clothing product which from the view of the orders(virtual garment enterprises) and the study object is the public leisure brand clothing enterprises, focused to build the index system about the factors of clothing product's processing costs. The paper includes the main contents as following:(1) Carry out an investigation for virtual garment enterprises and their suppliers of production manager, cost manager, etc, combined with the theories of processing cost, cost management and quoted price. Form the clothing product, suppliers, market environment to comprehensive analyze the major factor in the processing cost of the clothing product. (2)According to the characteristics of clothing enterprises and clothing products, make a comprehensive analysis of the pros and cons of the estimation methods about processing cost. Select the self-adaptive ant colony wavelet neural network as the study methods.(3)Through interviews for production management expert and make questionnaire survey in the clothing enterprises, collect the advice of experts, adaptive mathematical method, determine the major factors in processing costs of the clothing products, and build the index system.(4)In the paper, use the MATLAB write the program about the self-adaptive ant colony wavelet neural network, and combined with the expert's advices, select the clothing products which information known as the training samples, and estimate the clothing products, analysis and comparison of estimation results and the actual costs, verify the effectiveness and feasibility of the Estimation method.About the clothing product, the paper identified the main factors of the processing costs, including quality requirements, delivery requirements, processing complexity, the volume of orders, clothing category, the market level of competition and customer relations. Based on the processing cost index system of the clothing products, estimate the processing cost. Compare with the actual cost, the error result is very small. The result shows that the estimate processing cost method is consistent with the actual needs of clothing production management.The results of the study provide a certain reference value for the quoted price, production cost control and management in clothing enterprises, which conducive to clothing enterprises with their suppliers to establish long-term win-win cooperation. The processing cost estimation method and idea for clothing enterprises to provide a new perspective.