MDM-Based kansei design approach to appeal on customer senses for products

Kazuko Yamagishi, Kenichi Seki, Koichi Ohtomi, Hidekazu Nisimura

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

1 Citation (Scopus)

Abstract

In recent times, the importance of a product's kansei quality has been increasing to enhance the value of consumer products. In this study, we introduce the evaluation grid method to clarify customer demands, including kansei (human sensitivity) requirements for products. To capture the structure of these requirements, requirement clusters are extracted from a design structure matrix clustering analysis from evaluation test results for a camera. We show that the possibility to satisfy customer demands using the kansei quality is comprehended through multiple senses. The kansei design process is modeled as a multi-domain matrix (MDM) form. Using the domain mapping matrix, we clarify the functions related to kansei and set the engineering metrics at the component level. Finally, we propose a MDM-based representation to show the kansei design information flow from the requirement definition to functional and structural design processes.

Original languageEnglish
Title of host publicationModeling and Managing Complex Systems - Proceedings of the 17th International DSM Conference
EditorsTyson R. Browning, Steven D. Eppinger, Danilo Marcello Schmidt, Udo Lindemann
PublisherCarl Hanser Verlag
Pages185-194
Number of pages10
ISBN (Electronic)9783446445734
DOIs
Publication statusPublished - 2015
Event17th International Dependency and Structure Modeling Conference, DSM 2015 - Fort Worth, United States
Duration: 2015 Nov 42015 Nov 6

Publication series

NameModeling and Managing Complex Systems - Proceedings of the 17th International DSM Conference

Other

Other17th International Dependency and Structure Modeling Conference, DSM 2015
Country/TerritoryUnited States
CityFort Worth
Period15/11/415/11/6

Keywords

  • Camera
  • Design structure matrix
  • Domain mapping matrix
  • Human sensitivity
  • Kansei design
  • Kansei quality
  • Multi-domain matrix
  • Product

ASJC Scopus subject areas

  • Artificial Intelligence
  • Management of Technology and Innovation
  • Software
  • Computational Mathematics

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