System and method for combination-based data analysis

A computer implemented method for supply chain data analysis, the method comprising:

• storing supply chain data including test data, genealogy data, repair data, a plurality of factors and a plurality of items, in one or more databases;
• integrating, by one or more computers, the stored supply chain data in a plurality of combinations, each combination including one or more items and five or more factors, wherein each factor comprises one of the group consisting of product, product category, product version, test, subtest, measurement, station, station type, operator, assembly line, site, building, software version, hardware version, component, join, board version, fail category, error message, component parent, component supplier, component child, fail code, defect code, repair type, component, location of a component on a product, part number, lot name, lot size, customer, site, product, call reason, operator, defect code, severity, and failed component;
• receiving a minimum failure rate and sample size;
• extracting, by the one or more computers, a portion of the plurality of combinations according to received minimum failure rate and sample size, by analyzing factor properties from the stored data, integrating a portion of the factor properties to find different combinations of factors, retrieving subtest data and matching the subset data with the different combinations, retrieving measurement data and matching the measurement data with the combinations, and determining test structure and test limits;
• analyzing said extracted portion of the plurality of combinations, by the one or more computers, to detect a plurality of faulty combinations of factors and items that results in an unexpected change in a key performance index, according to said extracted portion of the plurality of combinations;
• performing correlation analysis on said plurality of faulty combinations, by the one or more computers, to determine a root cause for each faulty combination;
• generating, by the one or more computers, a subset of said plurality of faulty combinations, according to said root causes of said plurality of faulty combinations;
• generating a root cause chart, by the one or mare computers and according to the generated subset of said plurality of faulty combinations, that illustrates at least one parameter value that is a cause of the unexpected change in a key performance index;
• and
• displaying or storing the root cause chart by the one or more computers.