Innovative product design based on customer requirement weight calculation model

  • Authors:
  • Chen-Guang Guo;Yong-Xian Liu;Shou-Ming Hou;Wei Wang

  • Affiliations:
  • Institute of Advanced Manufacturing and Automation, Northeastern University, Shenyang, PRC 110809;Institute of Advanced Manufacturing and Automation, Northeastern University, Shenyang, PRC 110809;Institute of Advanced Manufacturing and Automation, Northeastern University, Shenyang, PRC 110809 and School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, PRC 454000;Institute of Advanced Manufacturing and Automation, Northeastern University, Shenyang, PRC 110809

  • Venue:
  • International Journal of Automation and Computing
  • Year:
  • 2010

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Abstract

In the processes of product innovation and design, it is important for the designers to find and capture customer's focus through customer requirement weight calculation and ranking. Based on the fuzzy set theory and Euclidean space distance, this paper puts forward a method for customer requirement weight calculation called Euclidean space distances weighting ranking method. This method is used in the fuzzy analytic hierarchy process that satisfies the additive consistent fuzzy matrix. A model for the weight calculation steps is constructed; meanwhile, a product innovation design module on the basis of the customer requirement weight calculation model is developed. Finally, combined with the instance of titanium sponge production, the customer requirement weight calculation model is validated. By the innovation design module, the structure of the titanium sponge reactor has been improved and made innovative.