MTA Scenario Files - Summary

Documentation for Maintenance Task Analysis Teaching Scenarios

Overview

This tool contains realistic aerospace maintenance scenarios designed for teaching Maintenance Task Analysis principles. Each scenario demonstrates different aspects of maintenance planning, delay modeling, and resource constraints.

Scenario 1: Aircraft Main Landing Gear Tire Replacement

ATA 32 - Landing Gear 9 Subtasks

Description: Complete tire replacement procedure on Boeing 737 main landing gear

Duration (Deterministic MTTR)
~235 minutes
Target Time
300 minutes (5 hours)
File
MTA_EXAMPLE_AIRCRAFT_TIRE.xlsx

Key Risks:

Learning Focus:


Scenario 2: Aircraft Engine Oil Change

ATA 79 - Oil System 9 Subtasks

Description: Routine engine oil and filter change on turbofan engine

Duration (Deterministic MTTR)
~175 minutes
Target Time
210 minutes (3.5 hours)
File
MTA_EXAMPLE_ENGINE_OIL.xlsx

Key Risks:

Learning Focus:


Scenario 3: Avionics System Operational Check

ATA 34 - Navigation 9 Subtasks

Description: Post-maintenance functional check of avionics and navigation systems

Duration (Deterministic MTTR)
~170 minutes
Target Time
200 minutes (3.3 hours)
File
MTA_EXAMPLE_AVIONICS_CHECK.xlsx

Key Risks:

Learning Focus:


Using These Scenarios for Teaching

Recommended Teaching Flow (4-hour session):

  1. Hour 1-2: Students review detailed MTA documentation using the Aircraft Tire example. Understand MTTR, delay types, and resource constraints.
  2. Hour 3: Run simulations on all three scenarios using the MTA Simulator. Compare baseline results and identify patterns.
  3. Hour 4: Analyze variance drivers in each scenario. Discuss which factors contribute most to schedule risk.

Comparison Exercise for Students:

After running simulations, students should analyze and compare:

  • Which scenario has the highest variability (coefficient of variation)?
  • Which delay type (DELAY1/DELAY2/DELAY3) dominates in each scenario?
  • Which specific tasks would benefit most from additional resources or inventory?
  • How does the probability of on-time completion change with different target times?

Data Structure

All scenario files use the same standardized format:

Column Description Format
SUBTASK Descriptive name of the maintenance step Text
MTTR Mean Time to Repair (minutes) - baseline duration Numeric (float)
DELAY1 Personnel delay probability 0.00 to 1.00
DELAY2 COTS/Parts delay probability (only applies when COTS=1) 0.00 to 1.00
DELAY3 Special equipment delay probability (only applies when SPECIAL=1) 0.00 to 1.00
COTS Binary flag indicating if subtask requires COTS parts 0 or 1
SPECIAL Binary flag indicating if subtask requires special equipment 0 or 1

Important Notes:

  • DELAY2 only applies when COTS=1
  • DELAY3 only applies when SPECIAL=1
  • Base subtask durations follow a normal distribution with mean=MTTR and std=0.1*MTTR

Delay Impact Values

When delays occur in the simulation, the following time penalties are applied:

DELAY1 - Personnel Delays
+15 minutes
Includes breaks, certifications, shift changes, scheduling conflicts
DELAY2 - Parts/COTS Delays
+30 minutes
Includes procurement time, stores retrieval, inventory issues
DELAY3 - Equipment Delays
+60 minutes
Includes availability, calibration, transportation, setup time

For more information or to run simulations, return to the MTA Simulator