Data Acquisition for Quality Loss Function Modelling

Søren Nygaard Pedersen, Thomas J. Howard

Research output: Contribution to journalConference articleResearchpeer-review

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Abstract

Quality loss functions can be a valuable tool when assessing the impact of variation on product quality. Typically, the input for the quality loss function would be a measure of the varying product performance and the output would be a measure of quality. While the unit of the input is given by the product function in focus, the quality output can be measured and quantified in a number of ways. In this article a structured approach for acquiring stakeholder satisfaction data for use in quality loss function modelling is introduced.
Original languageEnglish
JournalProcedia CIRP
Volume43
Pages (from-to)112-117
ISSN2212-8271
DOIs
Publication statusPublished - 2016
Event14th CIRP Conference on Computer Aided Tolerancing - Gothenburg, Sweden
Duration: 18 May 201620 May 2016
http://www.chalmers.se/en/conference/cat2016/Pages/default.aspx

Conference

Conference14th CIRP Conference on Computer Aided Tolerancing
Country/TerritorySweden
CityGothenburg
Period18/05/201620/05/2016
Internet address

Bibliographical note

Procedia CIRP is an open access product

Keywords

  • Quality loss functions
  • Data acquisition
  • Modelling

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