Statistical tolerancing using Monte Carlo simulation

Runje, Biserka and Mažar, Miroslav and Barišić, Gorana (2011) Statistical tolerancing using Monte Carlo simulation. = Statistical tolerancing using Monte Carlo simulation. In: 13th International Scientific Conference on Production Engineering CIM 2011, 16-18.06.2011., Biograd, Hrvatska.

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Official URL: https://www.bib.irb.hr/517029

Abstract

Statistical tolerancing is the process of analyzing component tolerances variation in order to estimate the overall level of variation on final product that must meet customer requirements. The model of tolerance analysis may be very complex, resulting in tolerance of the output quantity to be functionally related to a number of input variables. In this article Monte Carlo simulations (MCS) were used for analysis of a complex tolerances model. MCS is a method for the propagation of distributions by performing random sampling from probability distributions.

Item Type: Conference or Workshop Item (Lecture)
Keywords (Croatian): statistical tolerancing, Monte Carlo simulation, component variation, overall variation
Subjects: TECHNICAL SCIENCE > Mechanical Engineering
Divisions: 800 Department of Quality > 810 Chair of Precise Measurement and Quality
Indexed in Web of Science: No
Indexed in Current Contents: No
Date Deposited: 06 Jul 2016 13:47
Last Modified: 17 May 2018 12:26
URI: http://repozitorij.fsb.hr/id/eprint/6186

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