An optimum design selection approach for product customization development

  • Authors:

  • Chen Liu;Alejandro Ramirez-Serrano;Guofu Yin

  • Affiliations:

  • China Institute of Atomic Energy, Beijing, People's Republic of China and Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Canada;Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Canada;School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China

  • Venue:
  • Journal of Intelligent Manufacturing
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Consumer preferences and information on product choice behavior can be of significant value in the development processes of innovative products. In this paper, product customization evaluation and selection model is introduced to support imprecision inherent of qualitative inputs from customers and designers in the decision making process. Focusing on customer utility generation, an optimum design selection approach based on fuzzy set decision-making is proposed, where design attributes priority is identified from customer preferences using an analytical hierarchy process. A multi-attribute analysis diagram is developed to visualize the preference of each attribute from the expert's group decision. Conjoint analysis is used in the product customization to focus on customer utility generation in terms of multiple criteria. The use of the decision-making method is illustrated with a case example that highlights the utility of the proposed method.