TY - GEN
T1 - An optimization approach of product design with consumer preference uncertainty
AU - Du, Jing
AU - Hu, Xiaoming
AU - Lu, Qiang
AU - Xu, Suxiu
PY - 2012
Y1 - 2012
N2 - Product design optimization has traditionally been dealt with consumer preference as a deterministic process, such as conjoint analysis and multi-dimensional scaling. Actually, the hypothesis in those methods that consumer needs and preference are static and insulated is questioned by many marketing researchers. Preference dynamic and dependence suggest itself to be a challenging task. This paper reports an application of product design optimization capturing consumer preference uncertainty to laptop design. Preference dynamic character has been described as a Bayesian update process. Then, a generalized utility model is developed to facilitate the influence of preference dependence. To overcome the short of first-choice rule and probabilistic rule, a threshold-based choice rule is presented.
AB - Product design optimization has traditionally been dealt with consumer preference as a deterministic process, such as conjoint analysis and multi-dimensional scaling. Actually, the hypothesis in those methods that consumer needs and preference are static and insulated is questioned by many marketing researchers. Preference dynamic and dependence suggest itself to be a challenging task. This paper reports an application of product design optimization capturing consumer preference uncertainty to laptop design. Preference dynamic character has been described as a Bayesian update process. Then, a generalized utility model is developed to facilitate the influence of preference dependence. To overcome the short of first-choice rule and probabilistic rule, a threshold-based choice rule is presented.
KW - Product design optimization
KW - preference dependence
KW - preference dynamic
KW - preference uncertainty
UR - http://www.scopus.com/inward/record.url?scp=84903850613&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2012.6837729
DO - 10.1109/IEEM.2012.6837729
M3 - Conference contribution
AN - SCOPUS:84903850613
SN - 9781467329453
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 197
EP - 201
BT - 2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
PB - IEEE Computer Society
T2 - 2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
Y2 - 10 December 2012 through 13 December 2012
ER -