Human data acquisition and analysis for industrial processes

• US 20060224434A1
• Filed: 03/29/2005
• Published: 10/05/2006
• Est. Priority Date: 03/29/2005
• Status: Abandoned Application

• Current Assignee: Zarpac Inc.
• Original Assignee: Zarpac Inc.
• Inventors: Zepf, Paul J., Rumi, Eric M.
• Application Number:
  US11/092,277
• Publication Number:
  US 20060224434A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0633 Workflow analysis
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function
• CPC Class Codes: Y02P 90/80 Management or planning

Abstract

A method for optimizing an industrial process using human performance data is disclosed. The method includes collecting human performance data from at least one sensor element associated with at least one human and verifying the human performance data collected. The method further includes analyzing the human performance data collected for efficiency. The method further includes generating an efficiency report pertaining to efficiency of performance of the human in the industrial process.

Claims

1. A method for optimizing an industrial process using human performance data, comprising:

collecting human performance data from at least one sensor element associated with at least one human;

verifying the human performance data collected;

analyzing the human performance data collected for efficiency; and

generating an efficiency report pertaining to efficiency of performance of the human in the industrial process.

2. The method of claim 1, wherein the step of generating comprises:

generating an efficiency report pertaining to efficiency of performance of the human in the industrial process, wherein the efficiency report correlates training of the human with the performance of the human.

3. The method of claim 1, further comprising:

generating at least one recommendation for optimizing the performance of the human.

4. The method of claim 3, wherein the second step of generating comprises:

generating at least one recommendation for optimizing the performance of the human, wherein a recommendation includes a proposed change in training of the human.

5. The method of claim 3, wherein the second step of generating comprises:

generating at least one recommendation for optimizing the performance of the human, wherein a recommendation includes a proposed change to a job description for a job performed by the human.

6. The method of claim 3, wherein the second step of generating comprises:

generating at least one recommendation for optimizing the performance of the human, wherein a recommendation includes a proposed change in performance of the human.

7. The method of claim 3, further comprising:

presenting the report and the at least one recommendation to an administrator of the industrial process via a display.

8. A computer readable medium including computer instructions for optimizing an industrial process using human performance data, the computer instructions including instructions for:

collecting human performance data from at least one sensor element associated with at least one human;

verifying the human performance data collected;

analyzing the human performance data collected for efficiency; and

generating an efficiency report pertaining to efficiency of performance of the human in the industrial process.

9. The computer readable medium of claim 8, wherein the instructions for generating comprise instructions for:

generating an efficiency report pertaining to efficiency of performance of the human in the industrial process, wherein the efficiency report correlates training of the human with the performance of the human.

10. The computer readable medium of claim 8, further comprising instructions for:

generating at least one recommendation for optimizing the performance of the human.

11. The computer readable medium of claim 10, wherein the second instructions for generating comprise instructions for:

generating at least one recommendation for optimizing the performance of the human, wherein a recommendation includes a proposed change in training of the human.

12. The computer readable medium of claim 10, wherein the second instructions for generating comprise instructions for:

generating at least one recommendation for optimizing the performance of the human, wherein a recommendation includes a proposed change to a job description for a job performed by the human.

13. The computer readable medium of claim 10, wherein the second instructions for generating comprise instructions for:

generating at least one recommendation for optimizing the performance of the human, wherein a recommendation includes a proposed change in performance of the human.

14. The computer readable medium of claim 10, further comprising instructions for:

presenting the report and the at least one recommendation to an administrator of the industrial process via a display.

15. An information processing system for optimizing an industrial process using human performance data, comprising:

a memory for storing human performance data from at least one sensor element associated with at least one human; and

a processor configured for verifying the human performance data collected, analyzing the human performance data collected for efficiency and generating an efficiency report pertaining to efficiency of performance of the human in the industrial process.

16. The information processing system of claim 15, wherein the efficiency report correlates training of the human with the performance of the human.

17. The information processing system of claim 15, wherein the processor is further configured for:

generating at least one recommendation for optimizing the performance of the human.

18. The information processing system of claim 17, wherein a recommendation includes a proposed change in training of the human.

19. The information processing system of claim 17, wherein a recommendation includes a proposed change to a job description for a job performed by the human.

20. The information processing system of claim 17, wherein a recommendation includes a proposed change in performance of the human.