SAS Institute Inc. (Cary, NC)

A computing system receives a request for computer-generated likelihood(s) for evaluations of candidates of an industrial set according to an analysis of measurement systems (MSA). The MSA comprises tests for evaluating in accordance with a measurement standard the set of industrial products. The request indicates the metric set that represents metric(s) each quantifying the amount of their contribution to variation in an evaluation of the industrial set according to the MSA. The system generates a design that includes an input set for each MSA test. Each input set contains setting(s) that are necessary to conduct a MSA test. The design identifies possible sources that may contribute to the variations in the evaluation of the industrial product set as per the MSA. The system, similar to the one prior to MSA is able to output the metric set and design, along with the computer-generated likelihood(s) and the evaluation of candidates.

Mechanical or electrical system components , or substrates can be prone to variations when manufacturing massive quantities. These variations can cause problems if they are caused by the fact that industrial products must be manufactured within certain tolerances, such as those to ensure safety (e.g., parts for airplanes or automobiles) or to simply fit together well (e.g. LEGO snap together bricks). Variations could come from various sources such as the part itself or the process to measure the variation. The components of industrial machinery or the measurement process employed to measure them can be classified according to their capability to meet certain specifications. Classifications or evaluations for industrial products can consider the possibility of variations not only arising from the product itself however, but also in the measurement procedure such as measurement instruments such as measurement equipment, measurement operators, and measurement techniques. A measurement system analysis (MSA) can be used to evaluate a measurement process. Measurement tests can be conducted on a collection of industrial parts to determine the Evaluation of the Measurement Process classification. This is used to determine consistency, reproducibility or the repeatability of a measurement process.

An example embodiment provides computer-program product that is stored tangibly in an untransitory storage medium that is machine-readable. The computer-program product contains instructions that cause a computer system, prior to performing a measurement system analysis, receive an inquiry for one or more computer-generated probabilities for respective candidate evaluations of an industrial set in accordance with the measurement system analysis. The measurement system analysis consists of measurements tests for evaluating in accordance with a measurement standard, the industrial product set containing one or more industrial items. Every measurement test has an appropriate setting to an element of the factor set. A measure set is a set of metrics that quantifies, before the measurement analysis of the system, the contributing factors to variation in evaluating an industrial product in relation to the measurement method analysis. The computer-program product includes instructions to cause a computing system to, prior to the measurement system analysis, generate an input design comprising a respective input set for each respectivemeasurement test of the measurement system analysis. Each input set has some or all of the options that are utilized to conduct the relevant measurement test. The input design is utilized to identify potential sources that could be contributing to differences in the assessment of the industrial product set in accordance with the analysis of the measurement system. Instructions are included within the computer-program program to instruct a computing system to generate, based upon the set of metric units as well as the input design the one or more computer generated likelihoods for each candidate evaluation of the industrial product as per the measurement system analysis.

In a further example embodiment there is a computer provided. The computing device includes, but is not limited to, a processor as well as memory. The instructions stored in the memory control the processor to execute the instructions and generate prior to measurement system analysis, the one or more computer generated probabilities for each evaluation candidate of the industrial product set, as determined by the measurement system analysis.

Another embodiment provides a method of, prior to the measurement systems analysis, outputting using the metric sets along with the input design, one or more computer-generated probabilities for the candidate evaluations of the industrial item set in accordance with the measurement system analysis.

Other characteristics and features of various embodiments are described below in the detailed description when taken in conjunction with the drawings presented with this application.

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