COMPLEXITY REDUCTION IN MASS CUSTOMIZATION TO FACILITATE BETTER DECISION SUPPORT

被引:0
|
作者
Banerjee, Jai Nath [1 ]
Mundale, Madhura [1 ]
Sachche, Adnan [1 ]
McComb, Christopher [2 ]
机构
[1] Penn State Univ, Ind Engn & Operat Res, University Pk, PA 16802 USA
[2] Penn State Univ, Sch Engn Design Technol & Profess Programs, University Pk, PA 16802 USA
关键词
Attributes; Configurations; Conjoint Analysis; Decision Making; Consumer Behavior; Clustering; Ward's Method; Dendrogram; DESIGN SELECTION; PRODUCT; UNCERTAINTY;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Mass customization provides a way to satisfy an increasing number of customers by tailoring product details to their preferences. Moreover, there is a considerable amount of pressure on industries that embrace mass customization in their product portfolios to consistently produce innovative and market defining technology. To ease this pressure, this study offers organizations a perspective on what combination of attributes is most influential on choice when approaching decision support for the purchase of a Configure-to-Order product. Laptops are used here as a case study, but the approach is generalizable to any family of products. This approach first uses metrics gained from a modified conjoint analysis applied to data gathered from a student consumer base. Customer satisfaction is measured as a function of how many product offerings are provided, identifying and quantifying a trade-off between customizability and consumer satisfaction. This aims to cater to the requirements of the consumer base and key business advantages allowing for greater usability and maximum profits.
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页数:10
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