Enhanced concern indicator failure prediction system
First Claim
1. A method for predicting product failures, comprising:
- defining predictive indicators;
performing data mining on product data using the predictive indicators;
determining whether triggering data is discovered by the data mining; and
distributing triggering data to subscribers if triggering data is discovered.
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Accused Products
Abstract
An enhanced concern indicator failure prediction system is provided to predict possible product failures with automatic notification of people as well as systems. The system integrates data mining, spatial analysis, linear programming, narrowcasting, data warehousing, visualization, and text mining. As a result, failure conditions, attributes, complaints, locations, consequences, and sequence of events are analyzed using data mining technologies. This data is fed into an optimization module that assesses the efficiency of the failure process such that failures can be assessed as to their priority. These priorities are then used to feed a triggering engine that triggers notification of systems and individuals using narrowcasting technology. This system is one that allows early warning of potential problems to occur and integrates data from call centers, legacy systems, retailers, manufacturers, vendor supplied parts, and transportation of parts.
40 Citations
28 Claims
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1. A method for predicting product failures, comprising:
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defining predictive indicators;
performing data mining on product data using the predictive indicators;
determining whether triggering data is discovered by the data mining; and
distributing triggering data to subscribers if triggering data is discovered. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
discovering potential product failures;
assessing priorities of the potential product failures; and
sending the assessed priorities to a triggering engine.
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10. The method of claim 9, wherein the triggering engine triggers notification of at least one system.
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11. The method of claim 10, wherein the at least one system comprises a pager.
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12. The method of claim 10, wherein the at least one system comprises an e-mail account.
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13. The method of claim 9, wherein the triggering engine triggers notification of an individual at a user dashboard.
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14. The method of claim 1, wherein the step of distributing triggering data to subscribers comprises distributing the triggering data using narrowcasting.
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15. An apparatus for predicting product failures, comprising:
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definition means for defining predictive indicators;
data mining means for performing data mining on product data using the predictive indicators;
determination means for determining whether triggering data is discovered by the data mining; and
distribution means for distributing triggering data to subscribers if triggering data is discovered. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
means for discovering potential product failures;
means for assessing priorities of the potential product failures; and
means for sending the assessed priorities to a triggering engine.
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24. The apparatus of claim 23, wherein the triggering engine triggers notification of at least one system.
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25. The apparatus of claim 24, wherein the at least one system comprises a pager.
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26. The apparatus of claim 24, wherein the at least one system comprises an e-mail account.
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27. The apparatus of claim 23, wherein the triggering engine triggers notification of an individual at a user dashboard.
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28. A computer program product, in a computer readable medium, for predicting product failures, comprising:
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instructions for defining predictive indicators;
instructions for performing data mining on product data using the predictive indicators;
instructions for determining whether triggering data is discovered by the data mining; and
instructions for distributing triggering data to subscribers if triggering data is discovered.
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Specification