FACTORY RESOURCE OPTIMIZATION IDENTIFICATION PROCESS AND SYSTEM

• US 20100249968A1
• Filed: 03/24/2010
• Published: 09/30/2010
• Est. Priority Date: 03/25/2009
• Status: Abandoned Application

• Current Assignee: Applied Materials Incorporated
• Original Assignee: Applied Materials Incorporated
• Inventors: Neuber, Andreas, Sethia, Parth, Hawkins, Parris C.M., Vepa, Krishna, Murray, Raymond
• Application Number:
  US12/730,969
• Publication Number:
  US 20100249968A1
• Time in Patent Office: Days
• US Class Current: 700/99
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/04 Manufacturing
• CPC Class Codes: Y02P 90/30 Computing systems specially adapted for manufacturing

Abstract

A method and system for factory resource optimization identification is described herein. In one embodiment, an expected usage rate is determined for a resource in a manufacturing facility and an actual usage rate is determined for the resource in the manufacturing facility. A comparison between the expected usage rate and the actual usage rate is facilitated. A determination is made, based on the comparison, of whether a variance between the expected usage rate and the actual usage rate exceeds a threshold. A notification is provided if the variance exceeds the threshold.

Claims

1. A computer-implemented method comprising:

determining, by a server computer system, an expected usage rate for a resource in a manufacturing facility;

determining, by the server computer system, an actual usage rate for the resource in the manufacturing facility;

facilitating a comparison between the expected usage rate and the actual usage rate;

determining, based on the comparison, whether a variance between the expected usage rate and the actual usage rate exceeds a threshold; and

providing a notification if the variance exceeds the threshold.

2. The computer-implemented method of claim 1, wherein the expected usage rate is determined based on data collected from one or more processes, one or more tools, or one or more systems using the resource in the manufacturing facility.

3. The computer-implemented method of claim 1, wherein the actual usage rate is based on resource planning data for the resource.

4. The computer-implemented method of claim 1, wherein the threshold is any one of a user-defined threshold, a baseline, a benchmark, a user-defined limit, and a limit that is based on actual data that is collected over time.

5. The computer-implemented method of claim 1, further comprising:

providing a comparison of the expected usage rate and the actual usage rate to a client machine.

6. The computer-implemented method of claim 1, further comprising:

providing a visual indicator on a graphical user interface (GUI) indicating that the resource requires optimization analysis.

7. The computer-implemented method of claim 1, further comprising:

receiving one or more parameters optimizing the actual usage rate for the resource; and

sending instructions to the manufacturing facility based on the one or more parameters.

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

determining, by a server computer system, an expected usage rate for a resource in a manufacturing facility;

determining, by the server computer system, an actual usage rate for the resource in the manufacturing facility;

facilitating a comparison between the expected usage rate and the actual usage rate;

determining, based on the comparison, whether a variance between the expected usage rate and the actual usage rate exceeds a threshold; and

providing a notification if the variance exceeds the threshold.

9. The computer-readable storage medium of claim 8, wherein the expected usage rate is determined based on data collected from one or more processes, one or more tools, or one or more systems using the resource in the manufacturing facility.

10. The computer-readable storage medium of claim 8, wherein the actual usage rate is based on resource planning data for the resource.

11. The computer-readable storage medium of claim 8, wherein the threshold is a user-defined threshold, a baseline, a benchmark, a user-defined limit, or a limit that is based on actual data that is collected over time.

12. The computer-readable storage medium of claim 8, wherein the instructions further comprise:

providing a comparison of the expected usage rate and the actual usage rate to a client machine.

13. The computer-readable storage medium of claim 8, wherein the instructions further comprise:

providing a visual indicator on a graphical user interface (GUI) indicating that the resource requires optimization analysis.

14. The computer-readable storage medium of claim 8, wherein the instructions further comprise:

receiving one or more parameters optimizing the actual usage rate for the resource; and

sending instructions to the manufacturing facility based on the one or more parameters.

15. A computer system comprising:

a memory; and

a processor configurable by instructions stored in the memory to;

determine an expected usage rate for a resource in a manufacturing facility;

determine an actual usage rate for the resource in the manufacturing facility;

facilitate a comparison between the expected usage rate and the actual usage rate;

determine, based on the comparison, whether a variance between the expected usage rate and the actual usage rate exceeds a threshold; and

provide a notification if the variance exceeds the threshold.

16. The computer system of claim 15, wherein the expected usage rate is determined based on data collected from one or more processes, one or more tools, or one or more systems using the resource in the manufacturing facility.

17. The computer system of claim 15, wherein the actual usage rate is based on resource planning data for the resource.

18. The computer system of claim 15, wherein the threshold is a user-defined threshold, a baseline, a benchmark, a user-defined limit, or a limit that is based on actual data that is collected over time.

19. The computer system of claim 15, wherein the processor is further configurable to:

provide a comparison of the expected usage rate and the actual usage rate to a client machine.

20. The computer system of claim 15, wherein the processor is further configurable to:

provide a visual indicator on a graphical user interface (GUI) indicating that the resource requires optimization analysis.

21. The computer system of claim 15, wherein the processor is further configurable to:

receive one or more parameters optimizing the actual usage rate for the resource; and

send instructions to the manufacturing facility based on the one or more parameters.