Abstract: A method and system for supply chain data analysis. The method includes storing supply chain data including test data, genealogy data, repair data, some factors and some items, in one or more databases and selecting a portion of the factors from the stored data, and a time range for analysis. The method then selects one or more criterion for analysis; extracts a portion of the stored data; analyzes the extracted portion of the stored data to detect a plurality of faulty combination 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. The method then performs correlation analysis on said plurality of faulty combinations to determine a root cause for the detected combination of factors; and generates a subset of said plurality of faulty combinations, according to said root causes of said plurality of faulty combinations.

Abstract: A system is provided that enables access to data records associated with a product lifecycle management system. The system may include a metadata extractor component configured to determine metadata from data stored in data records and to store the metadata in a metadata library. Also, the system may include a schema configuration component configured to create a schema configuration based on metadata accessed from the metadata library. Further the system may include a schema builder component configured to generate a data store organized based on the created schema configuration, and to store data retrieved from the data records in the data store, based at least in part on metadata accessed from the metadata library based on the schema configuration. An application user interface that accesses the data store may dynamically change based on changes to the schema configuration and metadata library.

Abstract: Methods for product data management and corresponding systems and computer-readable mediums. A method includes receiving part data representing a plurality of parts, assigning a unique identifier to each of the parts, assigning at least one event to each of the parts, and storing the part data, unique identifiers, and events in an event descriptor framework (EDF) data structure.

Abstract: A method and system for supply chain data analysis. The method includes storing supply chain data including test data, genealogy data, repair data, some factors and some items, in one or more databases and selecting a portion of the factors from the stored data, and a time range for analysis. The method then selects one or more criterion for analysis; extracts a portion of the stored data; analyzes the extracted portion of the stored data to detect a combination of factors that result in a test failure, according to the selected factors, the time range, and the selected one or more criterion. The method then detects a root cause for the detected combination of factors; performs correlation analysis between the selected factors; and performs trend analysis on the selected factors.

Abstract: A method and system for supply chain data analysis. The method includes storing supply chain data including test data, genealogy data, repair data, some factors and some items, in one or more databases and selecting a portion of the factors from the stored data, and a time range for analysis. The method then selects one or more criterion for analysis; extracts a portion of the stored data; analyzes the extracted portion of the stored data to detect a combination of factors that result in a test failure, according to the selected factors, the time range, and the selected one or more criterion. The method then detects a root cause for the detected combination of factors; performs correlation analysis between the selected factors; and performs trend analysis on the selected factors.