Optimal tolerance allocation and process-sequence selection incorporating manufacturing capacities and quality issues

Natalia Robles, Utpal Roy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This research focuses on the development of a model for tolerance and process sequence selection optimization. To ascertain the optimal tolerances for all component dimensions of an assembly, and the best processing sequences, the model incorporates the manufacturing tolerance cost and the quality loss, resulting from not achieving the committed target dimensions. In addition, the model includes decisive manufacturing constraints such as the machining capacities, measurement errors and process capabilities. The process selection and tolerance optimization constraints require the model to be formulated as a zero-one non-linear optimization problem.

Original languageEnglish (US)
Title of host publication31st North American Manufacturing Research Conference 2003 - Transactions of the North American Manufacturing Research Institution of SME
Pages507-514
Number of pages8
StatePublished - Dec 1 2003
Event31st North American Manufacturing Research Conference, NAMRC 31 - Hamilton, ON, Canada
Duration: May 20 2003May 23 2003

Publication series

NameTransactions of the North American Manufacturing Research Institution of SME
Volume31
ISSN (Print)1047-3025

Other

Other31st North American Manufacturing Research Conference, NAMRC 31
CountryCanada
CityHamilton, ON
Period5/20/035/23/03

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Robles, N., & Roy, U. (2003). Optimal tolerance allocation and process-sequence selection incorporating manufacturing capacities and quality issues. In 31st North American Manufacturing Research Conference 2003 - Transactions of the North American Manufacturing Research Institution of SME (pp. 507-514). (Transactions of the North American Manufacturing Research Institution of SME; Vol. 31).