NPG14_CHINFO_Web_7Mar14

U.S. NAVY PROGRAM GUIDE 2014
Military Flight Operations Quality Assurance (MFOQA)
Description
MFOQA is knowledge-management process using data collected
during flight to conduct post-flight analysis of aircrew and aircraft
systems performance. MFOQA requires no additional equipment
to be mounted on the aircraft platform and no additional tasking
is added to the aircrew during flight. After each flight event, the aircrew
can remove the data-collection card, take it to the squadron
ready room, and load in the data to squadron computers. Applying
MFOQA software already loaded in the computer, the aircrew
can replay the flight in animation, noting geographic position, instrument
readings, and aircraft performance parameters. In addition,
maintenance personnel can perform diagnostic analysis of the
aircraft systems, aircrews can self-evaluate their performance, and
squadron leadership can review and counsel on flight procedures
and safety and training issues. The ultimate payoff is increased
readiness through improved safety, better training, and faster maintenance
troubleshooting. Flight operations quality assurance has
been used in the commercial aviation industry for years. Surveys
from the airline industry have yielded high praise for the process
and benefits to the Navy’s Maintenance, Operations, Safety, and
Training (MOST) paradigm.
Status
MFOQA completed Milestone B in the first quarter 2007 and
is scheduled for Milestone C in the second quarter of FY 2014,
with Initial Operational Capability shortly thereafter. The Navy
plan will implement MFOQA capability for 22 Type/Model/
Series aircraft over a phased approach. The lead platforms are the
F/A-18C/D/E/F Hornet/Super Hornet and the EA-18G Growler aircraft.
Follow-on phases will provide MFOQA capability to the
MH-60R/S Seahawk, MH/CH-53E/K heavy-lift helicopters, AH-
1Z, and UH-1Y helicopters; the T-45 Goshawk jet trainer; and
MV-22B Osprey tilt-rotor aircraft, with additional platforms to
follow. Platform priorities are driven by several factors, including
mishap rates, system architecture to support data collection, and
fleet concerns.
Developers
Expected to be multiple sources following competition.
Partnering developers include Rockwell Collins, Northrop
Grumman, SAIC.
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