Process-oriented tolerancing using the extended stream of variation model

José V. Abellán-Nebot, Jian Liu, F. Romero Subirón

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


Current works on process-oriented tolerancing for multi-station manufacturing processes (MMPs) have been mainly focused on allocating fixture tolerances to ensure part quality specifications at a minimum manufacturing cost. Some works have also included fixture maintenance policies into the tolerance allocation problem since they are related to both manufacturing cost and final part quality. However, there is a lack of incorporation of other factors that lead to increase of manufacturing cost and degrade of product quality, such as cutting-tool wear and machine-tool thermal state. The allocation of the admissible values of these process variables may be critical due to their impact on cutting-tool replacement and quality loss costs. In this paper, the process-oriented tolerancing is expanded based on the recently developed extended stream of variation (SoV) model which explicitly represents the influence of machining process variables in the variation propagation along MMPs. In addition, the probability distribution functions (pdf) for some machining process variables are analyzed, and a procedure to derive part quality constraints according to GD&T specifications is also shown. With this modeling capability extension, a complete process-oriented tolerancing can be conducted, reaching a real minimum manufacturing cost. In order to demonstrate the advantage of the proposed methodology over a conventional method, a case study is analyzed in detail.

Original languageEnglish (US)
Pages (from-to)485-498
Number of pages14
JournalComputers in Industry
Issue number5
StatePublished - Jun 2013


  • Fixture maintenance
  • Process-oriented tolerancing
  • Stream-of-variation
  • Tool replacement
  • Variation propagation

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering


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