Complexity reduction in mass customization to facilitate better decision support

Jai Nath Banerjee, Madhura Mundale, Adnan Sachche, Christopher McComb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication45th Design Automation Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791859193
DOIs
StatePublished - Jan 1 2019
EventASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019 - Anaheim, United States
Duration: Aug 18 2019Aug 21 2019

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume2B-2019

Conference

ConferenceASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2019
CountryUnited States
CityAnaheim
Period8/18/198/21/19

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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  • Cite this

    Banerjee, J. N., Mundale, M., Sachche, A., & McComb, C. (2019). Complexity reduction in mass customization to facilitate better decision support. In 45th Design Automation Conference (Proceedings of the ASME Design Engineering Technical Conference; Vol. 2B-2019). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2019-97369