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Quantifying the Impact of Aircraft Cannibalization Task MM0206. Principal Investigator C. Richard Cassady, Ph.d., P.E. Co-Principal Investigators Scott J. Mason, Ph.D., P.E.

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quantifying the impact of aircraft cannibalization task mm0206

Quantifying the Impact of Aircraft Cannibalization Task MM0206

Principal Investigator C. Richard Cassady, Ph.d., P.E.

Co-Principal Investigators Scott J. Mason, Ph.D., P.E.

Justin R. Chimka, Ph.D.

Graduate Research Assistants Kellie Schneider

Stephen Ormon

Undergraduate Research Assistants Chase Rainwater

Mauricio Carrasco

Jason Honeycutt

ASC PA 03-2420 9/15/03

project motivation
Project Motivation
  • extensive use of cannibalization in fleet maintenance
  • existing mathematical models of cannibalization do not address USAF issues
project objectives and activities
Project Objectives and Activities
  • project objectives
    • to develop a mathematical modeling methodology for assessing the impact of cannibalization on fleet performance
    • to identify policies for making cost-effective, dynamic cannibalization decisions
    • to study the impact of these policies on management of the spare parts supply chain
  • project activities
    • generic scenario definition
    • generic simulation modeling
    • application
    • future work
generic scenario definition
Generic Scenario Definition
  • set of n independent and identical aircraft
  • each aircraft
    • two parts connected in series
    • part i has a constant failure rate λi
  • aircraft operation
    • continuous until failure
  • aircraft failure – caused by failure of part j
    • immediately routed to base of operations for Mx
  • sj part j “spares” in the system

i=1

i=2

λ1

λ2

maintenance logic
Maintenance Logic

failure – remove part j (time Rj) – send removed part off for repair (time Lj)

spare part j available?

Y

N

install part j (time Ij)

cannibalization allowed?

N

Y

cannibalization possible?

N

Y

cannibalize (time Cj) – cannibalized aircraft now needs both parts

aircraft departs

aircraft waits

maintenance logic cont
Maintenance Logic (cont.)

repaired part j returned to base

failed aircraft waiting for only part j?

Y

N

install part j on failed aircraft

failed aircraft waiting for both parts?

Y

N

spare of other part available?

N

Y

aircraft departs

restore aircraft

add part to inventory

generic simulation modeling
Generic Simulation Modeling
  • simulation model of defined scenario constructed in Arena
  • performance measures estimated from model include:
    • average readiness (R)
    • Mx-man-hours per flying hour (MMH/FH)
    • average “experience” of a failed aircraft
performance analysis example
Performance Analysis – Example

(min, mode, max) in hr

performance analysis cont
Performance Analysis (cont.)
  • suppose target average readiness is 80%
  • suppose no cannibalization is permitted
    • R = 78.8%
    • MMH/FH = 0.0035
  • suppose cannibalization is permitted
    • R = 81.9%
    • MMH/FH = 0.0042
  • cannibalization satisfied the readiness issue but increased requirements for Mx resources
  • what are some other options?
    • 1. add a spare for part 2
    • 2. reduce the repair delay for part 2 by two days
  • option 1: R = 84.2%, MMH/FH = 0.0036
  • option 2: R = 81.2%, MMH/FH = 0.0036
performance analysis cont1
Performance Analysis (cont.)
  • suppose all three options are implemented
    • R = 86.6%
    • MMH/FH = 0.0039
    • average “experience” of a failed aircraft
      • 23.5% receive a spare immediately
      • 11.9% are restored via cannibalization
      • 64.6% must wait
        • average time waiting for a single part = 70 hr
        • 11.9% become cannibalized
        • average waiting time after cannibalization = 174 hr
application outline
Application Outline
  • Hill AFB visit
  • motivating questions
    • should cannibalization be consolidated?
    • how many technicians should be assigned to the CANN-dock?
    • how many aircraft should be designated as CANN-birds?
    • how long should aircraft remain in CANN-bird status?
  • simulation modeling
simulation modeling application
Simulation Modeling – Application
  • based on the cannibalization activities that take place at Hill AFB
  • modeling concepts
    • one wing, three squadrons
    • cannibalization, slaving
    • AMU-level or consolidated cannibalization
    • fixed number of CANN-birds
    • rebuilds after specified number of days
    • rework and testing after rebuilds
    • limited number of maintenance technicians
    • various technician skill sets
    • technicians pulled from AMU to CANN-dock
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