International Journal of Affective Engineering
Online ISSN : 2187-5413
ISSN-L : 2187-5413
Original Articles
Apparel Design Optimization for Global Market: Kansei Engineering Preference Model
Jay RAJASEKERAHiranthi KARUNASENA
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2015 年 14 巻 2 号 p. 119-126

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Apparel is the single largest export commodity in Sri Lanka. Over the recent years, the country has become the high-end producer for some of the world's top fashionable brands, where design and low cost manufacturing play key roles when it comes to marketing. This paper looks at how Kansei Engineering can be introduced for Sri Lankan apparel designers. The application of Kansei Engineering in mass production of apparel is done in two steps. First, the consumer's preferences or Kansei are segmented by conducting a survey and applying cluster analysis. In the second step, the orders from different brand marketers are aggregated in a way to optimize the mass production by applying Kansei preference model. An example shows how seven large orders from four brand marketers are categorized in to two segments by using a metric based on cluster centroid.
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© 2015 Japan Society of Kansei Engineering
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