Monte carlo simulation design methodology

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364552, 364554, 364578, 364491, G06F 1546

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active

053011180

ABSTRACT:
A two-stage Monte Carlo method of tolerancing components of an assembly is provided. Statistical measures of component features are not time invariant, but change over a production run. That is, the mean value of component feature measures and the standard distribution of the component feature measures about the time dependent mean are not invariant over a production run, but shift with time and throughput. According to the invention, these "shifted" or "adjusted" parameters are utilized in a Monte Carlo simulation to determine discrete values for the individual points of each output distribution, x(i), y(i), z(i). The individual points of the output distributions, x(i), y(i), z(i), are combined in a second Monte Carlo simulation step for individual assembly final fit F(x(i), y(i), z(i)). The statistics of the individual assembly final fits are then compared to manufacturing specifications.

REFERENCES:
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patent: 4908782 (1990-03-01), Pekarer et al.
patent: 4918627 (1990-04-01), Garcia et al.
patent: 5047947 (1991-09-01), Stump
patent: 5047966 (1991-09-01), Crow et al.
"Six Sigma Mechanical Design Tolerancing" Motorola, Inc. 1988.
"Optimizing Component & Assembly Tolerancing", 1986-ASQC Quality Congress Transactions.
"Predicting Dimensional Variation In Complex Assemblies" Cadence, Jul. 1989, pp. 59-61.
"Avoiding Assembly Misfits", Manufacturing Engineering, Jun. 1990, pp. 53-55.

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