An Analysis to Determine the Priority Emotional Design in Kansei Engineering by using the AHP Approach in Product Development

  • Fevi Syaifoelida
  • M.A.M Megat Hamdan
  • M.R Eqwan
  • Iszmir Nazmi
Keywords: Kansei Engineering, AHP, Row Geometric Mean Method

Abstract

The customer satisfaction is as the challenges on how they can deliver the quality of product for their success and survival in today’s competitive environment. Based on this reason, this research is carried out to identify and investigate the satisfaction toward the customer requirement of the product development based on their emotional feeling and how deep we can intepret those meanings behind the quality attributes in product. This study highlights the integration study between Kansei Engineering (KE) and Analythical Hierachy Process (AHP) which in practice towards the product development. KE used to find, obtain and interpret emotional needs of consumers of a product, investigate what the customer requirement based on their emotional feeling articulated in Semantic Differential scale context. In order to support, the research is conducted among 100 respondents as a sample size towards car user in Klang Valley, Malaysia. Studies proved and showed that there an existing correlation appears and significant findings between the emotional design quality and product chosen. A daily life product will be used as case studies (car center stack), as a real situation feature to apply the idea. Results, by using the Analythical Hierachy Process (AHP) as a decision maker, the design No 2, is the best design selected among 4 final designs in concept generation. It gives the emotional feeling of Ideal (Kansei Word). The ideal design of the car center stack is the design that has practical arrangement and not too fancy and too crowded in the middle of the stack. This study found that and shows us that the perceived attributes or qualities is impacted or influenced against the emotional design.

Downloads

Download data is not yet available.

References

Chinkatham,T & Cavallucci, D. (2015). On solution concept evaluation/selection in inventive design Procedia Engineering, 131, 1073–1083.

Juran. M. (1992). Juran on quality by design: The new steps for planning quality into goods and services. USA: The Free Press.

Koç & Burhan K H. (2015). An application of analytic hierarchy process (AHP) in a real world problem of store location selection. Advances in Management and Applied Economics, 5(1), 1–4.

Liu A & Lu S C Y. (2014). Alternation of analysis and synthesis for concept generation. CIRP Annual. - Manufacturing Technology, 63, 177–180.

Lanzotti & Tarantino.,P. (2000). Kansei engineering approach for identifying total quality elements. Available at: https://www.ep.liu.se/ecp/026/020/ecp0726020.pdf.

Jordan., P, W. (2000). Designing pleasurable products: An introduction to the new human factors. London: Taylor & Francis.

Nagamachi., M. (1997). Kansei engineering: The framework and methods kansei engineering. M. Nagamachi Kure, Kaibundo Publishing Co. Ltd., 1-9.

Norman., D, A. (2004). Emotional design: Why we love or hate everyday objects basic books. New York, 7.

Wiliiam, P. & Soutar, G N. (2009). Value, satisfaction and behavioral intentions in an adventure tourism context Annals of Tourism Research, 36, 413–438.

SyaifoelidaF & Sihombing H. (2013). The design preferences decision using the analytical hierarchy process towards kansei engineering approach: Spectacles Design. International Journal of Application or Innovation in Engineering and Management, 2(2), 269–274.

Saaty, T. L. (2008). Decision making with the analytic hierarchy process. Int. J. Serv. Sci., 1(1), 83.

Okudan, G.E & Shirwaiker, R.A. (2006). A multi-stage problem formulation for concept selection for improved product design. PICMET, 6, 2528–2538.

Published
2018-12-31
How to Cite
Fevi Syaifoelida, M.A.M Megat Hamdan, M.R Eqwan, & Iszmir Nazmi. (2018). An Analysis to Determine the Priority Emotional Design in Kansei Engineering by using the AHP Approach in Product Development. International Journal of Engineering and Management Research, 8(6), 151-156. https://doi.org/10.31033/ijemr.8.6.14