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 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 performing a live update of a manufacturing database. The user can automatically change database tables, add files, executable programs, and new modeling schema at remote sites from a central location. Manufacturing processes can be modified or changed entirely to introduce a new product line. Clients at the remote sites receive notification that a change in the database will occur so that works in progress can be completed. Clients complete their transactions but connections to the application server are maintained to facilitate resuming production. No new transactions are allowed at the remote site while the update is in progress. Downtime is minimal as the system is always running and the user can schedule the update at the most convenient time for individual sites. A rollback copy of the data is maintained to allow users to return to a version utilized prior to the last update.

Abstract: A system and method for implementing revision management of linked data entities and user dependent terminology. The present invention provides a novel method to implement revision management so that when a referenced data record is revised, no manual updating of any referencing data record is required to reflect the corresponding change. When defining a referencing data record, a user designates a choice of version of the referenced data record to be used with the referencing data record thereafter. Specifically, the user can either specify a particular version, in which case that particular version of the referenced data record will be used when the referencing data record is subsequently accessed, or the user can elect to use the “revision of record”, in which case the version of the referenced data record currently identified as the “revision of record” will be used.