Honeywell International Inc.

Nitesh Lall

Ramji Sethu

Amarnath Subrahmanya

Sandeep Baliga

Randall Pirtle

Prakash Subramonian

Richard J Foley

Somesh Subramani

Edward Kuzia

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.

System and method for product deployment and in-service product risk simulation

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.

Product fix-effectiveness tracking and notification system and method

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Madhya Pradesh, India

Nitesh Lall