Development of a fuzzy-rule based system for product development in the garment industry

C. K.H. Lee; King Lun Tommy Choy; G. T.S. Ho; Stephen W.Y. Cheng; C. H.Y. Lam; Jason C.H. Lee; Yufan Huang

doi:10.1109/PICMET.2015.7273096

Development of a fuzzy-rule based system for product development in the garment industry

C. K.H. Lee, King Lun Tommy Choy, G. T.S. Ho, Stephen W.Y. Cheng, C. H.Y. Lam, Jason C.H. Lee, Yufan Huang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

The garment industry has been in a transformation since the emergence of the fast fashion trend. For business survival, garment manufacturers are required to shorten the time to market and develop products which can meet the changing expectations of customers. This exerts a great pressure on fashion designers who are urged to consider customers' preferences in their designs and develop new products efficiently. Historical data related to product design and customer purchasing behavior thus serves as important information for effective new product development (NPD). In this paper, a fuzzy-rule based system (FBS) is developed to discover relationships between product styles and customer preferences from historical data. The knowledge discovered can help the industry design products which are not only fashionable, but are also saleable in the market. To evaluate the proposed system, a case study is conducted in which a real-set of data are tested to generate fuzzy decision rules. The results reveal that the FBS can provide knowledge support to NPD in the garment industry.

Original language	English
Title of host publication	PICMET 2015 - Portland International Center for Management of Engineering and Technology
Subtitle of host publication	Management of the Technology Age, Proceedings
Publisher	Portland State University
Pages	1676-1686
Number of pages	11
Volume	2015-September
ISBN (Electronic)	9781890843328
DOIs	https://doi.org/10.1109/PICMET.2015.7273096
Publication status	Published - 21 Sep 2015
Event	Portland International Center for Management of Engineering and Technology, PICMET 2015 - Portland, United States Duration: 2 Aug 2015 → 6 Aug 2015

Conference

Conference	Portland International Center for Management of Engineering and Technology, PICMET 2015
Country	United States
City	Portland
Period	2/08/15 → 6/08/15

ASJC Scopus subject areas

Engineering(all)
Strategy and Management

More information

10.1109/PICMET.2015.7273096

Scopus Link

Cite this

Lee, C. K. H., Choy, K. L. T., Ho, G. T. S., Cheng, S. W. Y., Lam, C. H. Y., Lee, J. C. H., & Huang, Y. (2015). Development of a fuzzy-rule based system for product development in the garment industry. In PICMET 2015 - Portland International Center for Management of Engineering and Technology: Management of the Technology Age, Proceedings (Vol. 2015-September, pp. 1676-1686). [7273096] Portland State University. https://doi.org/10.1109/PICMET.2015.7273096

Lee, C. K.H. ; Choy, King Lun Tommy ; Ho, G. T.S. ; Cheng, Stephen W.Y. ; Lam, C. H.Y. ; Lee, Jason C.H. ; Huang, Yufan. / Development of a fuzzy-rule based system for product development in the garment industry. PICMET 2015 - Portland International Center for Management of Engineering and Technology: Management of the Technology Age, Proceedings. Vol. 2015-September Portland State University, 2015. pp. 1676-1686

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abstract = "The garment industry has been in a transformation since the emergence of the fast fashion trend. For business survival, garment manufacturers are required to shorten the time to market and develop products which can meet the changing expectations of customers. This exerts a great pressure on fashion designers who are urged to consider customers' preferences in their designs and develop new products efficiently. Historical data related to product design and customer purchasing behavior thus serves as important information for effective new product development (NPD). In this paper, a fuzzy-rule based system (FBS) is developed to discover relationships between product styles and customer preferences from historical data. The knowledge discovered can help the industry design products which are not only fashionable, but are also saleable in the market. To evaluate the proposed system, a case study is conducted in which a real-set of data are tested to generate fuzzy decision rules. The results reveal that the FBS can provide knowledge support to NPD in the garment industry.",

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Lee, CKH, Choy, KLT, Ho, GTS, Cheng, SWY, Lam, CHY, Lee, JCH & Huang, Y 2015, Development of a fuzzy-rule based system for product development in the garment industry. in PICMET 2015 - Portland International Center for Management of Engineering and Technology: Management of the Technology Age, Proceedings. vol. 2015-September, 7273096, Portland State University, pp. 1676-1686, Portland International Center for Management of Engineering and Technology, PICMET 2015, Portland, United States, 2/08/15. https://doi.org/10.1109/PICMET.2015.7273096

Development of a fuzzy-rule based system for product development in the garment industry. / Lee, C. K.H.; Choy, King Lun Tommy; Ho, G. T.S.; Cheng, Stephen W.Y.; Lam, C. H.Y.; Lee, Jason C.H.; Huang, Yufan.

PICMET 2015 - Portland International Center for Management of Engineering and Technology: Management of the Technology Age, Proceedings. Vol. 2015-September Portland State University, 2015. p. 1676-1686 7273096.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - The garment industry has been in a transformation since the emergence of the fast fashion trend. For business survival, garment manufacturers are required to shorten the time to market and develop products which can meet the changing expectations of customers. This exerts a great pressure on fashion designers who are urged to consider customers' preferences in their designs and develop new products efficiently. Historical data related to product design and customer purchasing behavior thus serves as important information for effective new product development (NPD). In this paper, a fuzzy-rule based system (FBS) is developed to discover relationships between product styles and customer preferences from historical data. The knowledge discovered can help the industry design products which are not only fashionable, but are also saleable in the market. To evaluate the proposed system, a case study is conducted in which a real-set of data are tested to generate fuzzy decision rules. The results reveal that the FBS can provide knowledge support to NPD in the garment industry.

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Lee CKH, Choy KLT, Ho GTS, Cheng SWY, Lam CHY, Lee JCH et al. Development of a fuzzy-rule based system for product development in the garment industry. In PICMET 2015 - Portland International Center for Management of Engineering and Technology: Management of the Technology Age, Proceedings. Vol. 2015-September. Portland State University. 2015. p. 1676-1686. 7273096 https://doi.org/10.1109/PICMET.2015.7273096