|
Into the 21st century , with the formation of the globalization of markets , increasingly fierce competition in the market , users are increasingly high requirements for the quality of products and services , to meet customer demand is the ultimate purpose of the enterprises to improve product quality . To customer demand for the product is fully reflected in product quality , quality function deployment (QFD) has been widely used . Quality Function Deployment (quality function deployment, QFD) is a widely used customer needs drive the design , manufacturing and quality management tools . Quality management quality function deployment of enterprise applications will lead to the reduction of the internal conflict , shorten development cycle time , enhanced market penetration , product quality improvement and customer satisfaction improved , and thus be able to get higher returns . In this article, first reviewed and summarized QFD research status at home and abroad , the use of the field , trends, and current deficiencies . QFD exist at the same time , the paper mainly made ??the following tasks : first , taking into account the uncertain relationship between customer needs and technical characteristics and technical characteristics , fuzzy features , the introduction of a trapezoid fuzzy numbers to construct a fuzzy quality house . Second , based on the basis of the fuzzy quality housing by the plans to improve the rate as a variable , customer satisfaction is the target value , taking into account the constraints of capital and technical level , the establishment of a linear programming model , and provide for the Press paper , as an example, the simulation . The third , also based on the basis of the fuzzy quality housing , the use of utility functions to establish a QFD nonlinear programming model , taking into account the good house of quality of the relationship between non-linear problems . Fourth , taking into account the dynamic nature of customer demand , the neural network is introduced into the Quality Function Deployment , establish a dynamic neural network - based QFD model , the method can quickly pass changes in customer demand information , and the programming is simple , easy to implement, The small amount of work . Finally , this paper work done is summarized , indicating the direction of future research .
|