Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
VISUALIZING THE EFFECTIVENESS OF PRODUCT PORTFOLIO WITH RESPECT TO PRODUCT SPECIFICATIONS
Oh, Gyesik; Kang, Chang Muk; Kang, Kilmo; Hong, Yoo S.
Type:
Year:
2015
Editor:
Christian Weber, Stephan Husung, Marco CantaMESsa, Gaetano Cascini, Dorian Marjanovic, Srinivasan Venkataraman
Author:
Series:
ICED
Institution:
1: Seoul National University, Korea, Republic of (South Korea); 2: Soongsil University, Korea, Republic of (South Korea); 3: Samsung Electronics, Korea, Republic of (South Korea)
Section:
Design Information and Knowledge Management
Page(s):
133-142
ISBN:
978-1-904670-73-5
ISSN:
2220-4334
Abstract:
Most companies consistently analyze product portfolio to gain insights for establishing future strategies. The effectiveness of portfolio a kind of analysis index referring to market share of portfolio with respect to the number of models in portfolio. Since there are too many products in the market, companies need to divide market into comprehensible size for analysis. Traditionally, market segmentation is used for categorization. However, it has limitations on implementation especially in fast-changing markets consisting of an excessive number of products. To overcome this issue, we propose a new method to divide a market with respect to product specifications in the perspective of engineering design. Since it is conducted on market data, practitioners are able to analyze market objectively by reflecting up-to-date market situation. We adopt self-organizing map as a clustering method to visualize the effectiveness of portfolio. Engineering designers are able to gain clues on candidate models for elimination and the direction of specifications for new models from visualized analysis results. We develop a Matlab-based software to enhance usability for practitioners.
Keywords:
