Method and Means for Optimizing Maintenance Work Schedules
First Claim
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1. A process for optimizing maintenance work schedules in a fleet management program for at least one engine, comprising:
- creating at least one possible LLP workscope decision for a first shop visit for at least one engine;
creating at least one unscheduled engine repair scenario for each of said at least one possible LLP workscope decision for said first shop visit;
selecting one of said at least one unscheduled engine repair scenario for one of said at least one possible LLP workscope decision for said first shop visit;
calculating at least one expected cost for said one of said unscheduled engine repair scenario for said first shop visit;
determining a lowest expected cost of said at least one expected cost for said one of said unscheduled engine repair scenario for said first shop visit;
associating said lowest expected cost with at least one of said at least one possible LLP workscope decisions for said first shop visit;
selecting an LLP workscope decision out of said at least one possible LLP workscope decision based upon the association with said lowest expected cost for said first shop visit; and
performing upon said at least one engine said LLP workscope decision having said lowest expected cost.
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Abstract
The optimization algorithm described herein combines stochastic programming and intelligent enumeration schemes that exploit the problem structure to avoid evaluating solutions that on their face are known to be non-optimal. The optimization algorithm finds the module workscope decisions and LLP replacement decisions that minimize expected future maintenance cost per engine flight cycle. The optimization algorithm considers the enormous number of possible solutions, and determines the best one.
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14 Claims
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1. A process for optimizing maintenance work schedules in a fleet management program for at least one engine, comprising:
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creating at least one possible LLP workscope decision for a first shop visit for at least one engine; creating at least one unscheduled engine repair scenario for each of said at least one possible LLP workscope decision for said first shop visit; selecting one of said at least one unscheduled engine repair scenario for one of said at least one possible LLP workscope decision for said first shop visit; calculating at least one expected cost for said one of said unscheduled engine repair scenario for said first shop visit; determining a lowest expected cost of said at least one expected cost for said one of said unscheduled engine repair scenario for said first shop visit; associating said lowest expected cost with at least one of said at least one possible LLP workscope decisions for said first shop visit; selecting an LLP workscope decision out of said at least one possible LLP workscope decision based upon the association with said lowest expected cost for said first shop visit; and performing upon said at least one engine said LLP workscope decision having said lowest expected cost. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A process for optimizing maintenance work schedules in a fleet management program for at least one engine, comprising:
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creating at least one possible LLP workscope decision for a first shop visit for at least one engine; creating at least one unscheduled engine repair scenario for each of said at least one possible LLP workscope decision for said at least one engine; evaluating said at least one unscheduled repair scenario according to an equation
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8. A system comprising a computer readable storage device readable by the system, tangibly embodying a program having a set of instructions executable by the system to perform the following steps for optimizing maintenance work schedules of a fleet management program for at least one engine, the set of instructions comprising:
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an instruction to create at least one possible LLP workscope decision for a first shop visit for at least one engine; an instruction to create at least one unscheduled engine repair scenario for each of said at least one possible LLP workscope decision for said first shop visit; an instruction to select one of said at least one unscheduled engine repair scenario for one of said at least one possible workscope decision for said first shop visit; an instruction to calculate at least one expected cost for said one of said unscheduled engine repair scenario for said first shop visit; an instruction to determine a lowest expected cost of said at least one expected cost for said one of said unscheduled engine repair scenario for said first shop visit; an instruction to associate said lowest expected cost with at least one of said at least one possible LLP workscope decision for said first shop visit; an instruction to select an LLP workscope decision out of said at least one possible LLP workscope decision based upon the association with said lowest expected cost for said first shop visit; and an instruction to perform said LLP workscope decision having said lowest expected cost upon said at least one engine. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A system comprising a computer readable storage device readable by the system, tangibly embodying a program having a set of instructions executable by the system to perform the following steps for optimizing maintenance work schedules of a fleet management program for at least one engine, the set of instructions comprising:
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an instruction to create at least one possible LLP workscope decision for a first shop visit for at least one engine; an instruction to create at least one unscheduled engine repair scenario for each of said at least one possible LLP workscope decision for at least one engine; an instruction to evaluate said at least one unscheduled repair scenario according to an equation
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Specification