Methods and systems for managing a fleet of assets

• US 20070118502A1
• Filed: 11/18/2005
• Published: 05/24/2007
• Est. Priority Date: 11/18/2005
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Aragones, Amy, Aragones, James
• Application Number:
  US11/283,179
• Publication Number:
  US 20070118502A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G07B 15/00 Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points handling coins or valuable papers, e.g. banknotes, G07D; apparatus for vending or hiring articles or services activated by coins, credit cards, paper currency or the like G07F7/00, G07F17/00
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time

Abstract

Methods and systems for a mission planning system for a fleet of assets are provided. The system includes a centralized database for storing information, a computer system configured to be coupled to the database wherein the computer system includes a mission model configured to analyze a plurality of missions to be executed by the fleet of assets, the missions being defined by at least one task sequence and a set of environmental parameters associated with each task sequence, an asset model configured to determine the capability of each asset to perform the task sequence associated with at least one mission using the historical data, the threshold data, and the mission analysis, and a selection model configured to match at least one asset to each mission based on the determined asset capability, such that the capability of all assets is facilitated being optimized.

Claims

1. A mission planning system for a fleet of assets comprising:

a centralized database for storing information;

a computer system configured to be coupled to the database, the computer system further comprising;

a mission model configured to analyze a plurality of missions to be executed by the fleet of assets, the missions being defined by at least one task sequence and a set of environmental parameters associated with each task sequence;

an asset model configured to determine the capability of each asset to perform the task sequence associated with at least one mission using the historical data, the threshold data, and the mission analysis; and

a selection model configured to match at least one asset to each mission based on the determined asset capability, such that the capability of all assets is facilitated being optimized.

2. A system in accordance with claim 1 wherein said computer system further comprises a forecast model configured to estimate the result of the mission-asset matching to determine a set of mission-asset matches that facilitates optimizing the capability of all assets.

3. A system in accordance with claim 1 wherein said mission model comprises a route model configured to determine task sequences to be executed.

4. A system in accordance with claim 3 wherein said task sequences include a travel leg length, an asset loading wherein the asset loading includes at least one of passengers, cargo, and fuel, and profiles of an altitude, an ambient temperature, a wind speed, a current speed, an ambient humidity along the travel leg.

5. A system in accordance with claim 3 wherein said profiles include at least one of an average profile value for the travel leg, a transfer function relating travel conditions to profile values, and a transfer function relating travel conditions to profile values that includes an profile value uncertainty distribution.

6. A system in accordance with claim 1 wherein said asset model comprises a fuel consumption model configured to determine a current and projected fuel consumption profile for each said asset.

7. A system in accordance with claim 1 wherein said selection model comprises a route selector configured to match at least one asset to a mission such that at least one of the total fleet fuel consumption is facilitated being minimized, an average time to failure is facilitated being maximized, and an average time to required maintenance is facilitated being maximized.

8. A system in accordance with claim 1 wherein said route selector comprises at least one of an exhaustive algorithm, a non-exhaustive search method, and an evolutionary algorithm.

9. A system in accordance with claim 1 wherein said asset model comprises a life estimation model configured to estimate the life of the asset.

10. A system in accordance with claim 1 wherein said a selection model is further configured to match at least one asset to each mission based on the determined asset capability, such that the capability of all assets is facilitated being optimized and wherein the capability of all assets is facilitated being optimized when the fuel cost of the fleet of assets is minimized, the maintenance and repair shop load is substantially levelized over time, and asset repair costs are minimized.

11. A method of managing life cycle costs associated with maintaining and operating a fleet of assets, said method comprising:

storing historical data relating to missions executed by each asset in a database, the historical data includes asset performance data and environmental data for each mission;

storing threshold data for each asset in the database, the threshold data relating to endurance limits for each asset;

analyzing a plurality of missions to be executed, the missions defined by at least one task sequence and a set of environmental parameters associated with each task sequence;

determining the capability of each asset to perform the task sequence associated with at least one mission using the historical data, the threshold data, and the mission analysis; and

matching at least one asset to each mission based on the determined asset capability, such that the capability of all assets is facilitated being optimized, the matching is performed using a computer.

12. A method in accordance with claim 11 wherein storing historical data relating to missions executed by each asset comprises storing at least one of a travel leg length, an asset loading wherein the asset loading includes at least one of passengers, cargo, and fuel, profiles of an altitude, an ambient temperature, a wind speed, a current speed, an ambient humidity along the travel leg.

13. A method in accordance with claim 11 wherein storing historical data relating to missions executed by each asset comprises storing information relating to asset fuel efficiency.

14. A method in accordance with claim 13 wherein storing historical data relating to missions executed by each asset comprises storing fuel use data for each asset relative to each task of a task sequence.

15. A method in accordance with claim 14 wherein determining the capability of each asset to perform the task sequence comprises determining a projected fuel consumption profile for each asset.

16. A method in accordance with claim 15 wherein matching at least one asset to each mission comprises matching at least one asset to each mission such that the total fuel consumption of the fleet of assets is facilitated being minimized.

17. A method in accordance with claim 11 wherein storing historical data relating to missions executed by each asset comprises storing data associated with a predetermined asset failure mechanism.

18. A method in accordance with claim 17 wherein storing historical data relating to missions executed by each asset comprises storing asset operating hours and asset start events.

19. A method in accordance with claim 18 wherein determining the capability of each asset to perform the task sequence comprises comparing the historical asset operating hours data and asset start events data to associated asset operating hours threshold data and asset start event data.

20. A method in accordance with claim 19 wherein matching at least one asset to each mission comprises matching an asset with a relatively large differential between historical operating hours and threshold operating hours to a mission that includes a relatively large operating hour requirement.

21. A method in accordance with claim 19 wherein matching at least one asset to each mission comprises matching an asset with a relatively large differential between historical asset start events and threshold asset start events to a mission that includes a relatively large asset start events requirement.

22. A computer program embodied on a computer readable medium for managing life cycle costs associated with maintaining and operating a fleet of assets, said program comprising at least one code segment that:

stores historical data relating to missions executed by each asset in a database wherein the historical data includes asset performance data and environmental data for each mission;

stores threshold data for each asset in the database, the threshold data relating to endurance limits for each asset;

analyzes a plurality of missions to be executed, the missions defined by at least one task sequence and a set of environmental parameters associated with each task sequence;

determines the capability of each asset to perform the task sequence associated with at least one mission using the historical data, the threshold data, and the mission analysis; and

matches at least one asset to each mission based on the determined asset capability, such that the capability of all assets is facilitated being optimized, the matching is performed using a computer.