DocumentCode :
3327402
Title :
Research on determining the key technology of new product plan and design
Author :
Huang, Lucheng ; Li, Xin
Author_Institution :
Sch. of Manage. & Econ., Beijing Univ. of Technol., Beijing
fYear :
2009
fDate :
22-25 Feb. 2009
Firstpage :
1532
Lastpage :
1537
Abstract :
Quality function deployment (QFD) is a systematic approach that captures customer requirements and translates them, through house of quality (HOQ), into technology characteristics of the product. QFD is an available tool to develop the new product. In this paper, we use QFD to determine the key technology of new product plan and design. We firstly use the analytical hierarchy process (AHP) to determine the importance of the customer requirements. Then, as the relationships of customer requirements and technical requirements, technical requirements and part characteristics in QFD are uncertain, nonlinear and fuzzy, BP neural network to determine these relationships for QFD is presented, and establishes a QFD product planning model and a QFD part deployment model both based on BP artificial neural network. We put the importance of the customer requirements into the two QFD model, and obtain the importance of the part characteristics, and then determine the key technology. Finally, a case study of new product development is provided to illustrate the application of the presented method.
Keywords :
backpropagation; customer satisfaction; decision making; neural nets; production engineering computing; production planning; quality function deployment; analytical hierarchy process; backpropagation neural networks; customer requirements; house of quality; quality function deployment; Artificial neural networks; Biomimetics; Companies; Customer satisfaction; Design engineering; Fuzzy systems; Product design; Product development; Quality function deployment; Robots; Analytical Hierarchy Process; Key Technology; Neural Network; QFD;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-2678-2
Electronic_ISBN :
978-1-4244-2679-9
Type :
conf
DOI :
10.1109/ROBIO.2009.4913228
Filename :
4913228
Link To Document :
بازگشت