LOGISTICS, MAINTENANCE, AND OPERATIONS DATA VISUALIZATION SYSTEM AND METHOD

• US 20100250448A1
• Filed: 10/09/2008
• Published: 09/30/2010
• Est. Priority Date: 10/09/2007
• Status: Abandoned Application

• Current Assignee: Skilled Resource Services, Inc.
• Original Assignee: Skilled Resource Services, Inc.
• Inventors: Towe, Eric S.
• Application Number:
  US12/681,859
• Publication Number:
  US 20100250448A1
• Time in Patent Office: Days
• US Class Current: 705/302
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G06Q 30/012 Providing warranty services

Abstract

A computer system (10) for logistics, maintenance, and operations data visualization and method thereof are disclosed. The computer system is configured to receive maintenance and repair data from multiple sources on a platform, and uses maintenance codes and their respective narrative descriptions, part numbers, and other maintenance coding information as a basis for finding inaccuracies and inconsistencies in the received data. The system is also configured to correct these mismatches (refining of data) and perform multiple analysis functions of the refined data (most common occurrences, most frequently removed parts, repairs requiring most maintenance labor hours, highest-cost replacements, etc.). In addition, the system is also configured to calculate cost per operating hour/mile/day/etc., tracks removal of warranted components, and contains a predictive capability that becomes more accurate as additional data is acquired and continuously updated (data minding).

Claims

1. A computer-readable medium, tangibly embodied, including a logistics, maintenance, and operations data visualization (LMO) tool, the computer-readable medium comprising instructions for:

receiving maintenance and repair data from multiple sources;

using maintenance codes and their respective narrative descriptions, part numbers, and other maintenance coding information provided in the maintenance and repair data as a basis for finding inaccuracies and inconsistencies in the received maintenance and repair data;

correcting found inaccuracies and inconsistencies in the received maintenance and repair data to provide refined data;

performing multiple analysis functions of the refined data to determine at least a base statistics and a reliability forecast for each component provided in the received maintenance and repair data;

generating a report for viewing each component and the associated base statistics and reliability forecast; and

displaying the report on an output device.

2. The computer-readable medium of claim 1, wherein the received maintenance and repair data includes component types categorizing parts for a specific platform.

3. The computer-readable medium of claim 1, wherein the base statistics provided in the generated report includes information relating to part information and activity information.

4. The computer-readable medium of claim 1, wherein the reliability forecast provided in the generated report includes information relating to part information and desired target reliability rate fields.

5. The computer-readable medium of claim 3, wherein the part information includes at least one of a part maintenance code, a part category, a part name, and a maintenance manual reference, and the activity information includes at least one of maintenance actions, unscheduled maintenance actions, parts removed, average maintenance hours, maintenance hours, parts under warranty, and percentage of parts under warranty.

6. The computer-readable medium of claim 1, wherein the part information includes at least one of a part maintenance code, a part category, a part name, a maintenance manual reference, and a part unit cost, and the desired target reliability rate fields correlates operating limits with each level of desired reliability, along with the number of such parts needed on hand in supply per year and the associated cost in order to meet each level of desired reliability for a given operating limits.

7. The computer-readable medium of claim 1, further including instructions for enabling a user to populate the reliability forecast with customized data.

8. The computer-readable medium of claim 2, wherein the specific platform include at least one of an airplane, a weapon system, and military hardware.

9. The computer-readable medium of claim 1, further including instructions for sending notification to responsible ones of the multiple sources when a component in the report is indicated as removed and under warranty for replacement.

10. The computer-readable medium of claim 1, further including instructions for enabling a user to select in the report a rank view, selected maintenance code view, and a source records view.

12. A computer system, comprising:

an output device;

an input device;

a central processing unit in communication with the input device and output device; and

the computer readable medium as in claim 1, wherein the central processing unit executes the instructions to provide the LMO tool.

11. A method for providing a logistics, maintenance, and operations data visualization (LMO) tool, to a user, comprising:

receiving maintenance and repair data from multiple sources on a platform;

using maintenance codes and their respective narrative descriptions, part numbers, and other maintenance coding information provided in the maintenance and repair data as a basis for finding inaccuracies and inconsistencies in the received maintenance and repair data;

correcting found inaccuracies and inconsistencies in the received maintenance and repair data to provide refined data;

performing multiple analysis functions of the refined data to determine at least a base statistics and a reliability forecast for each component provided in the received maintenance and repair data;

generating a report for viewing each component and the associated base statistics and reliability forecast; and

displaying the report on an output device of the platform.