A methodology of integrating affective design with defining engineering specifications for product design

被引:46
作者
Jiang, Huimin [1 ]
Kwong, C. K. [1 ]
Liu, Y. [2 ]
Ip, W. H. [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hong Kong, Hong Kong, Peoples R China
[2] Cardiff Univ, Inst Mech & Mfg, Sch Engn, Cardiff CF10 3AX, S Glam, Wales
关键词
product design; affective design; determination of engineering specifications; NSGA-II; chaos optimisation algorithm; QUALITY FUNCTION DEPLOYMENT; MODELING CUSTOMER SATISFACTION; MULTIOBJECTIVE GENETIC ALGORITHM; FUZZY REGRESSION APPROACH; CONJOINT-ANALYSIS; LOGISTIC-REGRESSION; LINEAR-REGRESSION; NEURAL-NETWORK; FORM DESIGN; REQUIREMENTS;
D O I
10.1080/00207543.2014.975372
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Affective design and the determination of engineering specifications are commonly conducted separately in early product design stage. Generally, designers and engineers are required to determine the settings of design attributes (for affective design) and engineering requirements (for engineering design), respectively, for new products. Some design attributes and some engineering requirements could be common. However, the settings of the design attributes and engineering requirements could be different because of the separation of the two processes. In previous studies, a methodology that considers the determination of the settings of the design attributes and engineering requirements simultaneously was not found. To bridge this gap, a methodology for considering affective design and the determination of engineering specifications of a new product simultaneously is proposed. The proposed methodology mainly involves generation of customer satisfaction models, formulation of a multi-objective optimisation model and its solving using a chaos-based NSGA-II. To illustrate and validate the proposed methodology, a case study of mobile phone design was conducted. A validation test was conducted and the test results showed that the customer satisfaction values obtained based on the proposed methodology were higher than those obtained based on the combined standalone quality function deployment and standalone affective design approach.
引用
收藏
页码:2472 / 2488
页数:17
相关论文
共 59 条
[1]   Designing Products Using Quality Function Deployment and Conjoint Analysis: A Comparison in a Market for Elderly People [J].
Abu-Assab, Samah ;
Baier, Daniel .
ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE, 2010, :515-+
[2]  
[Anonymous], INT J QUALITY SCI
[3]  
[Anonymous], P 8 IEEE INT C CONTR
[4]   Inexact genetic algorithm approach to target values setting of engineering requirements in QFD [J].
Bai, H ;
Kwong, CK .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2003, 41 (16) :3861-3881
[5]  
Barnes C. J., 2007, CoDesign, V3, P135, DOI 10.1080/15710880701324497
[6]   Decision support for the design of affective products [J].
Barnes, Cathy ;
Lillford, Stephen Paul .
JOURNAL OF ENGINEERING DESIGN, 2009, 20 (05) :477-492
[7]   A weighted logistic regression for conjoint analysis and kansei engineering [J].
Barone, Stefano ;
Lombardo, Alberto ;
Tarantino, Pietro .
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2007, 23 (06) :689-706
[8]  
Boatwright P., 2009, J MECH DESIGN, V131
[9]   An intelligent fuzzy regression approach for affective product design that captures nonlinearity and fuzziness [J].
Chan, K. Y. ;
Kwong, C. K. ;
Dillon, T. S. ;
Fung, K. Y. .
JOURNAL OF ENGINEERING DESIGN, 2011, 22 (08) :523-542
[10]   Modelling customer satisfaction for product development using genetic programming [J].
Chan, KitYan ;
Kwong, C. K. ;
Wong, T. C. .
JOURNAL OF ENGINEERING DESIGN, 2011, 22 (01) :55-68