Statistical analysis and control of preventive maintenance procedures

• US 20040193467A1
• Filed: 03/31/2003
• Published: 09/30/2004
• Est. Priority Date: 03/31/2003
• Status: Abandoned Application

• Current Assignee: 3M Innovative Properties Company (3M Company)
• Original Assignee: 3M Innovative Properties Company (3M Company)
• Inventors: McRell, John W., Williams, Thomas P., Tateosian, Martha J.
• Application Number:
  US10/403,330
• Publication Number:
  US 20040193467A1
• Time in Patent Office: Days
• US Class Current: 705/7.24
• 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: G06Q 10/06314 Calendaring for a resource
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/06395 Quality analysis or management
• CPC Class Codes: Y02P 90/80 Management or planning

Abstract

Techniques are described for determining the effectiveness of preventive maintenance procedures in detecting and reducing equipment failures. The techniques make use of historical maintenance data, e.g., maintenance data from a computerized maintenance management system (CMMS), that identifies the preventive maintenance procedures, as well as unplanned maintenance procedures for repairing the equipment. The techniques are used to statistically analyze the maintenance data to determine whether a statistical correlation exists between the preventive and unplanned maintenance procedures. In particular, the techniques correlate any failures experienced by that equipment, as serviced by the unplanned maintenance procedures, to the preventive maintenance procedures that were designed to detect or eliminate those failures. Based on the analysis, an effectiveness of each preventive maintenance activity can be determined, and a respective frequency of each preventive maintenance activity can be statistically controlled.

Claims

1. A method comprising:

analyzing maintenance data to identify preventive maintenance procedures and unplanned maintenance procedures performed on equipment;

mapping the unplanned maintenance procedures to identifiers associated with the preventive maintenance procedures;

determining whether statistical correlations exist between the preventive maintenance procedures and the unplanned maintenance procedures based on the mapping; and

updating a schedule for performing the preventive maintenance procedures based on the determination.

2. The method of claim 1, wherein updating a schedule comprises updating frequencies for performing the preventive maintenance procedures when confidence levels for the statistical correlations exceed a threshold.

3. The method of claim 1, wherein updating a schedule comprises increasing frequencies for performing the preventive maintenance procedures that are mapped to one or more respective unplanned maintenance procedures.

4. The method of claim 1, wherein updating a schedule comprises decreasing frequencies for performing at least a subset of the preventive maintenance procedures based on the determination.

5. The method of claim 4, wherein decreasing the frequencies comprises decreasing frequencies for performing the preventive maintenance procedures that are mapped to less than a threshold number of unplanned maintenance procedures.

6. The method of claim 1, wherein updating the schedule comprises:

statistically calculating a risk value associated with each of the preventive maintenance procedures; and

determining adjustments for the preventive maintenance procedures as a function of the respective calculated risk values.

7. The method of claim 6, wherein statistically calculating a risk value comprises calculating a risk priority number for each of the preventive maintenance procedures.

8. The method of claim 1, wherein updating a schedule comprises:

computing a mean time between failure for each identifier based on the unplanned maintenance procedures associated with the identifiers; and

determining adjustments for the schedule as a function of the calculated mean time between failures.

9. The method of claim 1, further comprising extracting the maintenance data from a computer maintenance management system.

10. The method of claim 1, wherein the maintenance data comprises shop work order records, and mapping the unplanned maintenance procedures to identifiers comprises:

examining the shop work order records to identify the shop work orders for the unplanned maintenance procedures that serviced failures of the equipment; and

associating the identified shop work orders with the identifiers associated with preventive maintenance procedures designed to detect or prevent the failures.

11. The method of claim 1, wherein each of the preventive maintenance procedures includes one or more activities, and mapping the unplanned maintenance procedures comprises:

defining identifiers for the activities of the preventive maintenance procedures; and

mapping the unplanned maintenance procedures to identifiers associated with the activities.

12. The method of claim 1, further comprising:

performing pattern analysis on the maintenance data based on the mapping to identify trends within the preventive maintenance procedures and the unplanned maintenance procedures; and

updating the schedule for performing the preventive maintenance procedures based on the trend analysis.

13. The method of claim 1, wherein determining whether statistical correlations exist comprises computing a statistical variance in actual frequencies for the preventive maintenance procedures associated with each of the identifiers, and wherein updating a schedule comprises updating the schedule for the preventive maintenance procedures based on the computed statistical variances of the actual frequencies.

14. The method of claim 13, wherein determining whether statistical correlations exist comprises performing regression analyses on the computed statistical variances to compute the correlations between the actual frequencies and the unplanned maintenance procedures.

15. The method of claim 1, further comprising independently statistically analyzing the maintenance data based on the mapping to compute a respective regression equation for each identifier.

16. The method of claim 1, wherein mapping the unplanned maintenance procedures comprises presenting a user interface of a computer maintenance management system to receive input that maps the unplanned maintenance procedures to the identifiers.

17. The method of claim 1, further comprising invoking a computer maintenance management system to automatically analyze the maintenance data and update the schedule.

18. The method of claim 1, wherein the unplanned maintenance procedures comprise emergency maintenance procedures and corrective maintenance procedures.

19. A method comprising:

generating one or more correlation equations from maintenance data that specifies preventive maintenance procedures and unplanned maintenance procedures performed on equipment; and

outputting a schedule for performing the preventive maintenance procedures based on the correlation equations.

20. The method of claim 19, further comprising performing the preventive maintenance procedures on the equipment in accordance with the schedule.

21. The method of claim 19, further comprising:

mapping the unplanned maintenance procedures to identifiers associated with the preventive maintenance procedures; and

statistically analyzing the maintenance data to generate one of the correlation equations for each of the identifiers based on the mapping.

22. The method of claim 21, wherein outputting a schedule comprises:

computing a mean time between failure for each identifier based on the unplanned maintenance procedures associated with the identifiers; and

determining adjustments for the frequencies as a function of the calculated mean time between failures.

23. The method of claim 19, wherein outputting a schedule comprises:

statistically calculating a risk value associated with each of the preventive maintenance procedures; and

determining adjustments for the preventive maintenance procedures as a function of the respective calculated risk values.

24. A method comprising:

presenting an interface to receive maintenance data that define shop work orders for preventive maintenance procedures and unplanned maintenance procedures for equipment, wherein the interface includes an input area to map the shop work orders to identifiers associated with the preventive maintenance procedures;

automatically analyzing the maintenance data in accordance with the mapping to determine whether statistical correlations exist between the preventive maintenance procedures and the unplanned maintenance procedures; and

automatically updating frequencies associated with the preventive maintenance procedures based on the determination.

25. The method of claim 24, further comprising outputting a schedule in accordance with the updated frequencies.

26. The method of claim 24, wherein updating the frequencies comprises decreasing the frequencies for at least a subset of the preventive maintenance procedures based on the determination.

27. A computer-readable medium comprising instructions for causing a processor to:

present an interface to receive maintenance data that define shop work orders for preventive maintenance procedures and unplanned maintenance procedures for equipment, wherein the interface includes an input area to map the shop work orders to identifiers associated with the preventive maintenance procedures;

automatically analyze the maintenance data in accordance with the mapping to determine whether statistical correlations exist between the preventive maintenance procedures and the unplanned maintenance procedures; and

automatically update frequencies associated with the preventive maintenance procedures based on the determination.

28. The computer-readable medium of claim 27, further comprising instructions to cause the processor to output a schedule in accordance with the updated frequencies.

29. The computer-readable medium of claim 27, wherein the instructions cause the processor to update the frequencies when confidence levels for the statistical correlations exceed a threshold.

30. The computer-readable medium of claim 27, wherein the instructions cause the processor to increase the frequencies for the preventive maintenance procedures associated with identifiers that are mapped to one or more unplanned maintenance procedures.

31. The computer-readable medium of claim 27, wherein the instructions cause the processor to decrease the frequencies for at least a subset of the preventive maintenance procedures based on the determination.

32. The computer-readable medium of claim 27, wherein the instructions cause the processor to decrease the frequencies of the preventive maintenance procedures associated with identifiers that are mapped to less than a threshold number of unplanned maintenance procedures.

33. The computer-readable medium of claim 27, wherein the instructions cause the processor to statistically calculate a risk value associated with each of the frequencies, and determine adjustments for the frequencies as a function of the respective calculated risk values.

34. The computer-readable medium of claim 33, wherein the instructions cause the processor to calculate the risk values as risk priority numbers.

35. The computer-readable medium of claim 27, wherein the instructions cause the processor to compute a mean time between failure for each identifier based on the unplanned maintenance procedures associated with the identifiers, and determine adjustments for the frequencies as a function of the calculated mean time between failures.

36. The computer-readable medium of claim 27, wherein the instructions cause the processor to extract the maintenance data from a computer maintenance management system.

37. The computer-readable medium of claim 27, wherein the instructions cause the processor to compute a statistical variance in actual frequencies for the preventive maintenance procedures associated with each of the identifiers, and update the frequencies for the preventive maintenance procedures based on the computed variances of the actual frequencies.

38. The computer-readable medium of claim 27, wherein the instructions cause the processor to perform regression analysis based on the computed statistical variances to determine whether correlations exist between the actual frequencies and the unplanned maintenance procedures.

39. A system comprising:

a database that stores maintenance data that describes preventive maintenance procedures and unplanned maintenance procedures performed on equipment;

a scheduler that generates a schedule for the preventive maintenance procedures in accordance with respective frequencies; and

a statistical analysis module that analyzes the maintenance data and computes updated frequencies for the preventive maintenance procedures.

40. The system of claim 39, wherein the statistical analysis module computes the updated frequencies based on statistical correlations between the preventive maintenance procedures and the unplanned maintenance procedures.

41. The system of claim 40, wherein the statistical analysis module computes the updated frequencies when confidence levels for the statistical correlations exceed a threshold.

42. The system of claim 39, further comprising a data mining module that extracts shop work orders from the database that describe the preventive maintenance procedures and the unplanned maintenance procedures.

43. The system of claim 39, further comprising a coding module that maps the unplanned maintenance procedures to identifiers associated with the preventive maintenance procedures.

44. The system of claim 42, wherein the statistical analysis module increases the frequencies for the preventive maintenance procedures associated with identifiers that are mapped to one or more unplanned maintenance procedures.

45. The system of claim 42, wherein the statistical analysis module decreases the frequencies of the preventive maintenance procedures associated with identifiers that are mapped to less than a threshold number of unplanned maintenance procedures.

46. The system of claim 42, wherein the statistical analysis module computes a mean time between failure for each identifier based on the unplanned maintenance procedures associated with the identifiers, and determines adjustments for the frequencies as a function of the calculated mean time between failures.

47. The system of claim 39, wherein the statistical analysis module decreases the frequencies for at least a subset of the preventive maintenance procedures.

48. The system of claim 39, wherein the statistical analysis module calculates a risk value associated with each of the frequencies, and determines adjustments for the frequencies as a function of the respective calculated risk values.

49. The system of claim 48, wherein the statistical analysis module calculates the risk values as risk priority numbers.

50. The system of claim 39, wherein the statistical analysis module computes a statistical variance in actual frequencies for the preventive maintenance procedures, and updates the frequencies for the preventive maintenance procedures based on the computed variances of the actual frequencies.

51. The system of claim 50, wherein the statistical analysis module performs regression analyses based on the computed statistical variances to determine whether correlations exist between the actual frequencies and the unplanned maintenance procedures.