Toward Meaningful Manufacturing Variation Data in Design - Feature Based Description of Variation in Manufacturing Processes

Tobias Eifler, Srinivasa Murthy Boorla, Thomas J. Howard

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The need to mitigate the effects of manufacturing variation already in design is nowadays commonly acknowledged and has led to a wide use of predictive modeling techniques, tolerancing approaches, etc. in industry. The trustworthiness of corresponding variation analyses is, however, not ensured by the availability of sophisticated methods and tools alone, but does evidently also depend on the accuracy of the input information used. As existing approaches for the description of manufacturing variation focus however, almost exclusively, on monitoring and controlling production processes, there is frequently a lack of objective variation data in design. As a result, variation analyses and tolerancing activities rely on numerous assumptions made to fill the gaps of missing or incomplete data. To overcome this hidden subjectivity, a schema for a consistent and standardised description of manufacturing variation is suggested. It extends existing ISO GPS annotation by information about influences on the manufacturability of a chosen design solution and in this way enables the systematic acquisition of variation data meaningful for design practice.
Original languageEnglish
JournalProcedia CIRP
Pages (from-to)190-195
Number of pages6
Publication statusPublished - 2016
Event14th CIRP Conference on Computer Aided Tolerancing - Gothenburg, Sweden
Duration: 18 May 201620 May 2016


Conference14th CIRP Conference on Computer Aided Tolerancing
Internet address

Bibliographical note

© 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (


  • Manufacturability
  • Manufacturing Variation database
  • Process Cabalitiy
  • Robust Design
  • Tolerance


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