Optimal product sizing through digital human models

Christopher J. Garneau, Matthew B. Parkinson

Research output: Contribution to conferencePaper

8 Scopus citations

Abstract

Designing for human variability (DfHV) requires efficient allocation of sizing and adjustability. This can preserve product performance while reducing some measures of cost. For example, specifying only as much adjustability as necessary for a desired level of accommodation leads to devices which are better suited to their users and more cost efficient. Similarly, when multiple sizes of an adjustable artifact are to be produced, specifying only as many sizes as are necessary, with an appropriate amount of adjustability per size, leads to a set of products that cost less, require fewer unique parts, facilitate maintenance standardization, and ease inventory control. An alternative to the standard procedure of evenly dividing size ranges is considered wherein an equal degree of accommodation per size is also presented. A simple example related to exercise bicycle seat height is discussed.

Original languageEnglish (US)
DOIs
StatePublished - Dec 1 2008
EventDigital Human Modeling for Design and Engineering Conference and Exhibition - Pittsburgh, PA, United States
Duration: Jun 17 2008Jun 19 2008

Other

OtherDigital Human Modeling for Design and Engineering Conference and Exhibition
CountryUnited States
CityPittsburgh, PA
Period6/17/086/19/08

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering

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    Garneau, C. J., & Parkinson, M. B. (2008). Optimal product sizing through digital human models. Paper presented at Digital Human Modeling for Design and Engineering Conference and Exhibition, Pittsburgh, PA, United States. https://doi.org/10.4271/2008-01-1921