Decision support system for industrial designer based on kansei engineering

  • Authors:

  • Fu Guo;Long Ren;Zhenke He;Haiying Wang

  • Affiliations:

  • Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC;Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang, China, PRC

  • Venue:
  • IDGD'11 Proceedings of the 4th international conference on Internationalization, design and global development
  • Year:
  • 2011

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Abstract

A combination of the traditional methodology of Kansei Engineering with the up-to-date Decision Support System (DSS) is developed in this paper. The users who have a little knowledge of information technology can achieve the Kansei Engineering optimal design in a short period of time by using the DSS, which is composed of a friendly human-computer interface, a database management module and a model management section. The introduction of the structure of the DSS is made first and a case study on the flat-panel handset is followed. Through the use of morphological analysis and semantic differential method, many designed samples and Kansei words are stored in the pre-determined database module. Some more consumers' information is required to get the evaluations of the automatic-formed models. Then a combination of BP artificial networks and GA is used to get the final results. The system is developed by the PHP language to make sure that it runs smoothly in a web environment. Finally, a matrix of physical parameters is attained according to the output of the system. A decoding procedure is done to get the real physical design elements of the optimal model of handset, followed by a prototyping method using other software such as UG. The optimal design is shown at last.