Abstract: Methods and systems are provided for predicting the reliability of a plurality of products that will be deployed during a product deployment period comprising a plurality of time intervals. The method comprises retrieving historical product removal data from a product removal data source, retrieving historical product shipment data from a product shipment data source, identifying a plurality of Weibull parameters based on at least a portion of retrieved product removal data and product shipment data, and performing a plurality of product deployment simulations, wherein each product deployment simulation includes predicting a lifespan for each of the plurality of products and determining reliability metrics for uniform time intervals during the product deployment period.

Abstract: Methods and apparatus are provided for tracking the effectiveness of a modification that has been installed into a product in response to an issued modification notice. A product removal database having removal data stored therein that are associated with one or more products is periodically accessed at a user-specified periodicity. One or more user-selected fix-effectiveness algorithms are executed to determine if at least a portion of the periodically accessed removal data matches one or more user-specified keywords that correlate to the modification. If it is determined that at least a portion of the periodically accessed removal data matches the one or more user-specified keywords, then an alert is transmitted to a preset destination.

Abstract: Methods and apparatus are provided for tracking the effectiveness of a modification that has been installed into a product in response to an issued modification notice. A product removal database having removal data stored therein that are associated with one or more products is periodically accessed at a user-specified periodicity. One or more user-selected fix-effectiveness algorithms are executed to determine if at least a portion of the periodically accessed removal data matches one or more user-specified keywords that correlate to the modification. If it is determined that at least a portion of the periodically accessed removal data matches the one or more user-specified keywords, then an alert is transmitted to a preset destination.

Abstract: Methods and systems are provided for predicting the reliability of a plurality of products that will be deployed during a product deployment period comprising a plurality of time intervals. The method comprises retrieving historical product removal data from a product removal data source, retrieving historical product shipment data from a product shipment data source, identifying a plurality of Weibull parameters based on at least a portion of retrieved product removal data and product shipment data, and performing a plurality of product deployment simulations, wherein each product deployment simulation includes predicting a lifespan for each of the plurality of products and determining reliability metrics for uniform time intervals during the product deployment period.

Abstract: Methods and apparatus are provided for tracking product reliability. A product removal database having removal data stored therein that are associated with one or more products is periodically accessed at a user-specified periodicity. An aircraft flight-hours database having time-in-flight data stored therein that are associated with each product is periodically accessed at the user-specified periodicity. One or more user-selected algorithms are executed, using at least a portion of the periodically accessed removal data, to determine if the criterion for a user-specified reliability parameter is met or not. If it is determined that the criterion for the user-selected reliability parameter is not met, then an alert is transmitted to a preset destination.