Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24089
Title: Quality function deployment-based methodology for optimizing scalable product platform
Authors: Luo, X
Wang, F
Kwong, CK 
Keywords: Customer satisfaction
Product platform
Quality function deployment (QFD)
Issue Date: 2011
Publisher: 機械工業出版社
Source: 機械工程學報 (Chinese journal of mechanical engineering), 2011, v. 47, no. 12, p. 175-184 How to cite?
Journal: 機械工程學報 (Chinese journal of mechanical engineering) 
Abstract: To help the platform-based products better satisfy customer's requirements, a methodology based on quality function deployment (QFD) is proposed for optimization of scalable product platform. The main idea of this methodology is to apply the technology of QFD, establish the house of quality of each product variant, determine the optimal engineering characteristic value, perform sensitivity analysis for each engineering characteristic, establish an optimization model on the basis of obtained sensitivity indices of the engineering characteristics, and achieve the optimal platform engineering characteristic value and non-platform engineering characteristic value. The objective function of the optimization model is to maximize the average degree of customer satisfaction of all product variants in a family. The constraints of the model include the functional relationship between customer requirements and engineering characteristics and the autocorrelation function relationship among engineering characteristics. Linear function form is adopted in the model and regression method is used to estimate the parameters in the function. An example of industrial pincers is given to verify the feasibility of the proposed method, and the result of the case analysis shows that the proposed method can obtain better customer satisfaction than the traditional two-phase method.
URI: http://hdl.handle.net/10397/24089
ISSN: 0577-6686
DOI: 10.3901/JME.2011.12.175
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Sep 11, 2017

Page view(s)

40
Last Week
1
Last month
Checked on Sep 24, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.