USE OF PREDICTION DATA IN MONITORING ACTUAL PRODUCTION TARGETS

• US 20100228376A1
• Filed: 02/10/2010
• Published: 09/09/2010
• Est. Priority Date: 02/11/2009
• Status: Active Grant

• Current Assignee: Applied Materials Incorporated
• Original Assignee: Applied Materials Incorporated
• Inventors: Norman, David E., Stafford, Richard
• Granted Patent: US 8,989,887 B2
• Time in Patent Office: Days
• US Class Current: 700/110
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: Y02P 90/80 Management or planning

Abstract

A method and system for the use of prediction data in monitoring actual production targets is described herein. In one embodiment, a process is provided to receive data from a plurality of source systems in a manufacturing facility and generate a prediction pertaining to a future state of the manufacturing facility based on the data received from the plurality of source systems. A recent state of the manufacturing facility is determined based on the data received from the plurality of source systems and a comparison between the recent state and the prediction is facilitated.

Claims

1. A computer-implemented method comprising:

receiving, by a server computer system, data from a plurality of source systems in a manufacturing facility;

generating a prediction pertaining to a future state of the manufacturing facility based on the data received from the plurality of source systems;

determining a recent state of the manufacturing facility based on the data received from the plurality of source systems; and

facilitating a comparison between the recent state and the prediction.

2. The method of claim 1, wherein facilitating the comparison comprises:

determining whether a variance between the recent state and the prediction exceeds a threshold; and

providing a notification if the variance exceeds the threshold.

3. The method of claim 1, wherein facilitating the comparison comprises:

providing the prediction and the recent state to a client if a prediction request is received.

4. The method of claim 1, further comprising:

submitting a query to the plurality of source systems, wherein the query is created based on a type of data necessary for generating the prediction.

5. The method of claim 1, further comprising:

submitting a query to the plurality of source systems, wherein the query is created based on a type of data necessary for generating the recent state of the manufacturing facility.

6. The method of claim 1, further comprising:

populating a prediction data model with the data received from the plurality of source systems; and

populating a real time data model with the data received from the plurality of source systems.

7. The method of claim 1, wherein generating the prediction comprises at least one of:

making calculations, forecasting, statistical prediction, trend analysis, and running simulation.

8. The method of claim 1, wherein the prediction includes a predicted state of operations of the manufacturing facility for a duration of a short time horizon.

9. The method of claim 1, further comprising:

querying the plurality of source systems for additional data if the variance does not exceed the threshold.

11. The method of claim 8, wherein the presenting comprises:

generating a graphical user interface (GUI) illustrating a predicted state of a manufacturing facility based on the prediction data;

determining whether a duration of time has ended; and

updating the GUI based on the recent state data to include a recent factory state of the manufacturing facility if the duration of time has not ended.

12. The method of claim 8, wherein the presenting comprises:

generating a report based on the prediction data and the recent state data, wherein the report provides real-time information identifying one or more alerts related to the operations of the manufacturing facility.

10. A computer-implemented method comprising:

receiving, by a client computer, prediction data from a prediction server;

receiving, by the client computer, recent state data from the prediction server; and

presenting the prediction data and the recent state data to a user to indicate a variance between the prediction data and the recent state data.

13. The method of claim 10, further comprising:

determining whether the report is to be updated; and

updating data in the report if the report is to be updated, wherein the updating is based on the recent data associated with the manufacturing facility.

14. The method of claim 10, further comprising:

determining whether data represented in the report is to be exported; and

exporting the data in the report if the data is to be exported.

15. The method of claim 10, further comprising:

determining whether data represented in the report is to be cleared; and

clearing the data in the report if the data is to be cleared.

17. The computer-readable storage medium of claim 14, wherein facilitating the comparison comprises:

providing the prediction and the recent state to a client if a prediction request is received.

16. A computer-readable storage medium comprising executable instructions to cause a processor to perform operations, the instructions comprising:

receiving, by a server computer system, data from a plurality of source systems in a manufacturing facility;

generating a prediction pertaining to a future state of the manufacturing facility based on the data received from the plurality of source systems;

determining a recent state of the manufacturing facility based on the data received from the plurality of source systems; and

facilitating a comparison between the recent state and the prediction.

18. A computer-readable storage medium comprising executable instructions to cause a processor to perform operations, the instructions comprising:

receiving prediction data from a prediction server;

receiving recent state data from the prediction server; and

presenting the prediction data and the recent state data to a user to indicate a variance between the prediction data and the recent state data.

19. A computer system comprising:

a memory; and

a processor configurable by instructions stored in the memory to;

receive data from a plurality of source systems in a manufacturing facility;

generate a prediction pertaining to a future state of the manufacturing facility based on the data received from the plurality of source systems;

determine a recent state of the manufacturing facility based on the data received from the plurality of source systems; and

facilitate a comparison between the recent state and the prediction.

20. The computer system of claim 19, wherein the processor is further configurable to:

determine whether a variance between the recent state and the prediction exceeds a threshold; and

provide a notification if the variance exceeds the threshold.