Cost Estimation and Optimisation Framework for Rapid Product Development

Author(s):  
Shane Xie ◽  
Yiliu Tu
2005 ◽  
Vol 1 (3/4) ◽  
pp. 323 ◽  
Author(s):  
Carman K.M. Lee ◽  
Henry C.W. Lau ◽  
Kai-Ming Yu ◽  
W.H. Ip

1999 ◽  
Author(s):  
Fu-Chung Wang ◽  
Juan Plancarte ◽  
Paul K. Wright ◽  
Vito Fabbrizio ◽  
Alan Kramer

Abstract The demand for quick time-to-market and the short product life cycle of consumer electronics are now pushing the development time for these products even shorter. The success of a rapid product development requires careful considerations of product markets, production needs, and available design and fabrication resources at the early development stage, and a seamlessly integrated design to fabrication environment for rapid product realization. In this paper, through a case study on the prototyping production of a finger-print recognition device, we illustrate a rapid product development through an integrated CAD/CAM environment. Rapid production of an accurate aluminum mold for 200 prototypes is highlighted. The result was a product prototype delivered within a short period of development time according to the proposed schedule. Time analysis of the entire development process was provided, and some potential improvements based on the analysis were also identified for future development of similar products.


2007 ◽  
Vol 54 (1) ◽  
pp. 29-40 ◽  
Author(s):  
Y. L. Tu ◽  
S. Q. Xie ◽  
Richard Y. K Fung

2016 ◽  
Vol 8 (1) ◽  
pp. 21-34 ◽  
Author(s):  
Marcin Relich

AbstractThis paper is concerned with estimating cost of various new product development phases with the use of computational intelligence techniques such as neural networks and fuzzy neural system. Companies tend to develop many new products simultaneously and a limited project budget imposes the selection of the most promising new product development projects. The evaluation of new product projects requires cost estimation. The model of cost estimation contains product design, prototype manufacturing and testing, and it is specified in terms of a constraint satisfaction problem. The illustrative example presents comparative analysis of estimating product development cost using computational intelligence techniques and multiple regression model.


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