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PROPOSAL OF CLUSTER ANALYSIS METHOD FOR PRODUCTS CONSIDERING EXPLORATION AND EXPLOITATION IN ENGINEERING DESIGN

Published online by Cambridge University Press:  19 June 2023

Masahiro Okamoto  and
Tamotsu Murakami
Masahiro Okamoto*
Affiliation:
The University of Tokyo
Tamotsu Murakami
Affiliation:
The University of Tokyo
*
Okamoto, Masahiro, The University of Tokyo, Japan, okamoto-masahiro587@g.ecc.u-tokyo.ac.jp

Abstract

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It is important for organizations to balance exploration and exploitation in order to respond quickly and sustainably to the needs of society and users in a rapidly changing business environment. However, there is insufficient research on design methods to balance exploration and exploitation in product design, and a method to objectively identify the product groups to be balanced has not yet been established. In this paper, on the basis of the characteristics of exploration and exploitation in design, a cluster analysis using functional and attribute distances between products is proposed. To validate the proposed method, it was applied to past product cases in which the relationship between exploration and exploitation was known. The results showed that in the cases of cameras, in addition to known product groups forming large clusters, reasonable minor classifications that had not been identified were also obtained. This indicates that the proposed method is capable of analyzing reasonable clusters in the cases and is potentially effective in identifying product groups taking into consideration the relationship between exploration and exploitation.

Keywords

Exploration and exploitationDesign methodsNew product developmentInnovationSemantic data processing
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 2995 - 3004
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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