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Designing Feelings into Products: Integrating Kansei Engineering Methodology in Product Development
Linköping University, Department of Management and Engineering, Machine Design . Linköping University, The Institute of Technology.
2002 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Tendencies in product development of today make it likely that many future products will be functional equivalent and therefore hard to distinguish between for the customer. Customers will decide by highly subjective criteria which product to purchase. One task for product development in this context is to be able to capture the customer’s considerations and feelings of products and translate these emotional aspects into concrete product design.

Today a number of different methods, such as Quality Function Deployment (QFD), Semantical Environment Description (SMB), Conjoint Analysis and Kansei Engineering exist and are used in practical applications.

The purpose of this thesis is to understand and apply Kansei Engineering methodology and explore ways to integrate the methodology into an industrial product development process.

This was done by conducting a study on forklift trucks in different European countries and business areas and by exploring ways of integrating Kansei Engineering in product development processes.

The number of Kansei words collected was reduced based on the result of a pilot study using a combination of different tools. A computerized data collection method was used in combination with a modified VAS-scale in order to reduce the time for filling out the evaluation forms The results of the study in the visited Northern and Middle European companies make it evident that Kansei Engineering has to be adapted in several aspects to the circumstances in each situation. The data showed that there are differences in attitude towards reach trucks in the different European countries. These results were used in order to adapt the product requirements for each specific country. Starting at Cooper’s stage gate model Kansei Engineering was applied on a macro level, a micro level and for verifying purpose. Using QFD, Kansei Engineering helps to identify customer needs their importance and the technical responses as well as to conduct benchmarking and to connect the customer needs mathematically to the technical responses.

This study of Kansei Engineering revealed that there was no general model on the methodology available in English literature. Outgoing from a previous flowchart, a conceptual framework of Kansei Engineering was developed integrating the existing Kansei Engineering Types and future tools.

Place, publisher, year, edition, pages
Institutionen för konstruktions- och produktionsteknik , 2002. , 115 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 946
Keyword [en]
Technology, product development, Quality Function Deployment (QFD), Semantical Environment Description (SMB), Conjoint Analysis, Kansei Engineering
Keyword [sv]
TEKNIKVETENSKAP
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-2658ISBN: 91-7373-347-4 (print)OAI: oai:DiVA.org:liu-2658DiVA: diva2:19998
Presentation
(English)
Note
ISRN/Report code: LiU-Tek-Lic 2002:19Available from: 2005-07-18 Created: 2005-07-18 Last updated: 2009-04-01
List of papers
1. An Approach to Kansei Engineering-Methods and Case Study on Design Identity
Open this publication in new window or tab >>An Approach to Kansei Engineering-Methods and Case Study on Design Identity
2001 (English)In: Conference on Human Affective Design, Singapore June, 27-29, 2001Conference paper, Published paper (Other academic)
Abstract [en]

Improvements in the design of products for industrial use gets increasingly important. The aim is to get better knowledge about the user’s feelings about warehouse-trucks and to test study methods . Kansei Engineering is used in order to compare three trucks from different manufacturers and reveal differences in impact on the users. The project contains three studies at European companies, using a modified analogue-visual scale, administered by Excel based software. The results show that there are significant differences between truck traits. All trucks score lower than an "ideal" truck. This shows that even a mature product still has improvement potential.

Keyword
Kansei Engineering, New Product Development, Computerized Data Collection, Product Image
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-13341 (URN)
Available from: 2005-07-18 Created: 2005-07-18
2. User Impression of Warehouse truck design
Open this publication in new window or tab >>User Impression of Warehouse truck design
2002 (English)Article in journal (Refereed) Submitted
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-13342 (URN)
Available from: 2005-07-18 Created: 2005-07-18
3. Integrating Kansei Engineering and QFD in Product development
Open this publication in new window or tab >>Integrating Kansei Engineering and QFD in Product development
2001 (English)In: 4th QMOD conference, Linköping 2001, 2001Conference paper, Published paper (Other academic)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-13343 (URN)
Available from: 2005-07-18 Created: 2005-07-18
4. Concepts, Methods and Tools in Kansei Engineering
Open this publication in new window or tab >>Concepts, Methods and Tools in Kansei Engineering
2004 (English)In: Theoretical Issues in Ergonomics Science, ISSN 1463-922X, Vol. 5, no 3, 214-231 p.Article in journal (Refereed) Published
Abstract [en]

Trends in product development today indicate that customers will find it hard to distinguish between many products due to functional equivalency. Customers will, therefore, base their decisions on more subjective factors. Moreover, in the future, products will consist, to a higher grade, of a combination of a tangible and intangible part. Kansei Engineering is a tool translating customer's feelings into concrete product parameters and provides support for future product design. Presently, a total of six different types of Kansei Engineering are in use. The aim of this paper is to propose a framework in Kansei Engineering to facilitate the understanding of the different types of Kansei Engineering and to open Kansei Engineering for the integration of new tools. The new structure includes the choice of a product domain, which can be described from a physical and a semantic perspective as building a vector space in each. For the latter mentioned space, the Semantic Differential Method is used. In the next step, the two spaces are merged and a prediction model is built, connecting the Semantic Space and the Space of Product Properties together. The resulting prediction model has to be validated using different types of post-hoc tests.

Keyword
Kansei Engineering, proposed framework, semantic differential method, product development
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-13476 (URN)10.1080/1463922021000049980 (DOI)
Available from: 2005-07-18 Created: 2005-07-18 Last updated: 2009-06-04

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