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

Kathleen M. Robinette, Daisy Veitch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 languageEnglish
Title of host publicationProceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)
Subtitle of host publicationAging, Gender and Work, Anthropometry, Ergonomics for Children and Educational Environments
EditorsSebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Yushi Fujita
Place of PublicationSwitzerland
Number of pages11
ISBN (Electronic)9783319960654
ISBN (Print)9783319960647
Publication statusPublished - 2019
Externally publishedYes
Event20th Congress of the International Ergonomics Association - Florence, Italy
Duration: 26 Aug 201830 Aug 2018
Conference number: 20 (Conference Page)

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Conference20th Congress of the International Ergonomics Association
Abbreviated title IEA 2018
Internet address


  • Anthropometry
  • Fit-mapping
  • Sizing
  • Apparel
  • Design
  • Sustainable
  • FIT


Dive into the research topics of 'Use of anthropometry and fit databases to improve the bottom-line'. Together they form a unique fingerprint.

Cite this