TY - GEN
T1 - Complexity reduction in mass customization to facilitate better decision support
AU - Banerjee, Jai Nath
AU - Mundale, Madhura
AU - Sachche, Adnan
AU - McComb, Christopher
N1 - Publisher Copyright:
Copyright © 2019 ASME.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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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U2 - 10.1115/DETC2019-97369
DO - 10.1115/DETC2019-97369
M3 - Conference contribution
AN - SCOPUS:85076370507
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 45th Design Automation Conference
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019
Y2 - 18 August 2019 through 21 August 2019
ER -