Use of anthropometry and fit databases to improve the bottom-line

Kathleen M. Robinette; Daisy Veitch

doi:10.1007/978-3-319-96065-4_49

Use of anthropometry and fit databases to improve the bottom-line

Kathleen M. Robinette, Daisy Veitch

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Many apparel companies do extensive market research to understand their customer base. This results in good information about the gender, ethnicity, age, income and other characteristics of the target market. In this paper we will show how this can be taken one step further with large anthropometric databases and small fit studies to better target the market, improve sales and reduce waste, through improved fit, faster product development and tighter inventory control. The improvement in population accommodation with good selection of the sizes will be quantified and illustrated using data from the WEAR Association database. An example of the creation of the “fit map” for an apparel item will be provided and compared against a priori assumptions about the range of fit. Then a comparison of raw data versus data weighted to the target market will be illustrated.

Original language	English
Title of host publication	Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)
Subtitle of host publication	Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments
Editors	Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita
Place of Publication	Switzerland
Publisher	Springer-Verlag
Pages	442-452
Number of pages	11
Volume	9
ISBN (Electronic)	9783319960654
ISBN (Print)	9783319960647
DOIs	https://doi.org/10.1007/978-3-319-96065-4_49
Publication status	Published - 2019
Externally published	Yes
Event	20th Congress of the International Ergonomics Association - Florence, Italy Duration: 26 Aug 2018 → 30 Aug 2018 Conference number: 20 https://link.springer.com/conference/iea (Conference Page)

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	826
ISSN (Print)	2194-5357

Conference

Conference	20th Congress of the International Ergonomics Association
Abbreviated title	IEA 2018
Country/Territory	Italy
City	Florence
Period	26/08/18 → 30/08/18
Internet address	https://link.springer.com/conference/iea (Conference Page)

Keywords

Anthropometry
Fit-mapping
Sizing
Apparel
Design
Sustainable
FIT

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10.1007/978-3-319-96065-4_49Licence: In Copyright

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Robinette, K. M., & Veitch, D. (2019). Use of anthropometry and fit databases to improve the bottom-line. In S. Bagnara, R. Tartaglia, S. Albolino, T. Alexander, & Y. Fujita (Eds.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments (Vol. 9, pp. 442-452). (Advances in Intelligent Systems and Computing; Vol. 826). Springer-Verlag. https://doi.org/10.1007/978-3-319-96065-4_49

Robinette, Kathleen M. ; Veitch, Daisy. / Use of anthropometry and fit databases to improve the bottom-line. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments. editor / Sebastiano Bagnara ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander ; Yushi Fujita. Vol. 9 Switzerland : Springer-Verlag, 2019. pp. 442-452 (Advances in Intelligent Systems and Computing).

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title = "Use of anthropometry and fit databases to improve the bottom-line",

abstract = "Many apparel companies do extensive market research to understand their customer base. This results in good information about the gender, ethnicity, age, income and other characteristics of the target market. In this paper we will show how this can be taken one step further with large anthropometric databases and small fit studies to better target the market, improve sales and reduce waste, through improved fit, faster product development and tighter inventory control. The improvement in population accommodation with good selection of the sizes will be quantified and illustrated using data from the WEAR Association database. An example of the creation of the “fit map” for an apparel item will be provided and compared against a priori assumptions about the range of fit. Then a comparison of raw data versus data weighted to the target market will be illustrated.",

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Robinette, KM & Veitch, D 2019, Use of anthropometry and fit databases to improve the bottom-line. in S Bagnara, R Tartaglia, S Albolino, T Alexander & Y Fujita (eds), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments. vol. 9, Advances in Intelligent Systems and Computing, vol. 826, Springer-Verlag, Switzerland, pp. 442-452, 20th Congress of the International Ergonomics Association, Florence, Italy, 26/08/18. https://doi.org/10.1007/978-3-319-96065-4_49

Use of anthropometry and fit databases to improve the bottom-line. / Robinette, Kathleen M.; Veitch, Daisy.

Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments. ed. / Sebastiano Bagnara; Riccardo Tartaglia; Sara Albolino; Thomas Alexander; Yushi Fujita. Vol. 9 Switzerland : Springer-Verlag, 2019. p. 442-452 (Advances in Intelligent Systems and Computing; Vol. 826).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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ER -

Robinette KM, Veitch D. Use of anthropometry and fit databases to improve the bottom-line. In Bagnara S, Tartaglia R, Albolino S, Alexander T, Fujita Y, editors, Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Aging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments. Vol. 9. Switzerland: Springer-Verlag. 2019. p. 442-452. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-96065-4_49

Use of anthropometry and fit databases to improve the bottom-line

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