Methods, Systems, and Products for Predicting Work force Requirements

• US 20110145155A1
• Filed: 12/11/2009
• Published: 06/16/2011
• Est. Priority Date: 12/11/2009
• Status: Abandoned Application

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Pifer, Terri H., Walter, Robert A., Jones, Alfonso
• Application Number:
  US12/635,898
• Publication Number:
  US 20110145155A1
• Time in Patent Office: Days
• US Class Current: 705/301
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/103 Workflow collaboration or project management
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

Methods, systems, and products are disclosed for predicting work force requirements. Work order information is retrieved describing work orders, and weather information is retrieved describing a weather event. The work order information and the weather information are combined to determine an impact on the work orders due to the weather event. The work force requirements are then predicted to resolve the work orders.

Claims

1. A method for predicting work force requirements, comprising:

retrieving work order information describing work orders;

retrieving weather information describing a weather event;

combining the work order information and the weather information to determine an impact on the work orders due to the weather event; and

predicting the work force requirements to resolve the work orders.

2. The method according to claim 1, further comprising retrieving utility information from a database storing public service commission information.

3. The method according to claim 2, further comprising comparing the utility information to a threshold to comply with public service commission requirements.

4. The method according to claim 3, further comprising reducing overtime hours when the utility information exceeds the threshold.

5. The method according to claim 1, further comprising estimating a driving distance to complete a work order.

6. The method according to claim 1, further comprising retrieving a facility density describing a density of facilities.

7. The method according to claim 6, further comprising selecting a dispatch strategy based on the facility density.

8. A system, comprising:

a processor executing code stored in memory, the code causing the processor to;

retrieve work order information describing work orders;

retrieve a facility density describing a density of facilities;

retrieve weather information describing a weather event;

combine the work order information, the facility density, and the weather information to determine an impact on the work orders due to the weather event; and

predict the work force requirements to resolve the work orders.

9. The system according to claim 8, further comprising code that causes the processor to retrieve utility information from a database storing public service commission information.

10. The system according to claim 9, further comprising code that causes the processor to compare the utility information to a threshold to comply with public service commission requirements.

11. The system according to claim 10, further comprising code that causes the processor to reduce overtime hours when the utility information exceeds the threshold.

12. The system according to claim 8, further comprising code that causes the processor to estimate a driving distance to complete a work order.

13. The system according to claim 8, further comprising code that causes the processor to select a dispatch strategy based on the facility density.

14. The system according to claim 8, further comprising code that causes the processor to retrieve sunrise and sunset times.

15. A computer readable medium storing processor executable instructions for performing a method, the method comprising:

retrieving work order information describing work orders;

retrieving a facility density describing a density of facilities;

retrieving Doppler information describing a weather event;

multiplying the facility density by the Doppler information to determine an impact on the work orders due to the weather event; and

predicting the work force requirements to resolve the work orders.

16. The computer readable medium according to claim 15, further comprising instructions for retrieving utility information from a database storing public service commission information.

17. The computer readable medium according to claim 16, further comprising instructions for comparing the utility information to a threshold to comply with public service commission requirements.

18. The computer readable medium according to claim 17, further comprising instructions for reducing overtime hours when the utility information exceeds the threshold.

19. The computer readable medium according to claim 16, further comprising instructions for estimating a driving distance to complete a work order.

20. The computer readable medium according to claim 16, further comprising instructions for retrieving sunrise and sunset times.