Application of dynamic value-attribute modeling in a product family

DS 75-9: Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies, Vol.9: Design Methods and Tools, Seoul, Korea, 19-22.08.2013

Year: 2013
Editor: Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini
Author: Withanage, Chathura; Moon, Seung Ki; Park, Taezoon; Duc, Truong Ton Hien
Series: ICED
Institution: 1: Nanyang Technological University, Singapore; 2: Singapore Institute of Manufacturing Technology, Singapore
Page(s): 049-058
ISBN: 978-1-904670-52-0
ISSN: 2220-4334


Product families are used as a solution to cater the needs of diversified user groups, while minimizing the usage of resources. However, today's design decision makers require additional capabilities to manage the uncertainties brought by highly dynamic nature of the technological markets. Therefore, understanding the time varying behavior of preferences, in addition to the preference differences across market segments, has become an essential tool to survive the intense competition. This paper provides a new approach to add time varying behavior of preferences to extend the currently two dimensional market segmentation grids. The newly added time dimension provides more information to the design decision makers, while minimizing uncertainties due to the dynamic market behavior. A precursor case study, using the US light truck market data from 2004-2010 was conducted to assess the dynamic nature of the preferences in the market niches. The case study results provide strong evidences of presence of the time variance preference in market niches. A dynamic preference modeling case study, with an extended set of market segment observations, is proposed as the immediate future work.

Keywords: Product families, new product development, early design phases, dynamic preference modeling, multivariate analysis


Please sign in to your account

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.