The U.S. Navy`s Aviation Data

DECKPLATE
DECKPLATE:
The U.S. Navy’s Aviation Data
Management System
S
CDR Christopher Hammond
DECKPLATE Deputy Program Manager
Naval Air Systems Command 6.8.4
Lisa Clark & Troy Bekel
DECKPLATE Support
Spalding Consulting, Inc.
Wednesday, June 6, 2012
NAVAIR Public Release #2012-705
Distribution Statement A - "Approved for public release; distribution is
unlimited"
US Navy Today
 Personnel
 >325,000
 >50,000 deployed
 Aircraft Carriers (CVN’s)
 USS George HW Bush; Ronald Reagan; Abraham Lincoln; George Washington;
Dwight D Eisenhower; Enterprise; Nimitz; Truman; Stennis; Roosevelt; Vinson
 Carrier Air Wings (CVW’s) (H-60; E-2C; F/A-18C/E/F/G; C-2; EA-6B)
 5 East coast
 4 West coast
 1 Forward Deployed (Atsugi Japan)
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Decision Knowledge Programming for Logistics Analysis and Technical
Evaluation
Overview:
Features:
Stakeholders:
Aviation logistics data warehouse for the US Navy with 23
years of history data for trend analysis and records reconstruction
Near real-time, parallelized data loads, Active Data Warehouse, single, authoritative, web-based data
y and reporting
p
g
source for analysis
-Commander of Naval Air Force (CNAF)
-Fleet Readiness Center (FRC)
-Headquarters Marine Corps (HQMC)
-Type Commanders (TYCOMs)
-Office of the Chief of Naval Operations (OPNAV)
-Program Managers (PMAs)
DECKPLATE Data Subjects:
Flight/Usage
Inventory
Aircraft
Maintenance
Configuration
Baseline
Management
Engine Total
Asset Visibility
Technical
Directives
Supply
Cost
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
Official up-line repository for inventory, maintenance, flight, usage and readiness
reporting data

Fulfills United States Code Title 10 Section 117 requirements for Defense Readiness
Reporting System

Measures and reports on the readiness of military forces and the supporting
infrastructure

Fulfills the U.S. Naval Aviation policy requirement for Aviation Data Warehouse (ADW)

Provides a comprehensive view of aircraft, engines and aeronautical components across
the Naval Aviation Enterprise (NAE)

Enables decision makers with usable, actionable and reliable information
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NAE
Naval Aviation Enterprise (NAE) Mission: To support Naval aviation readiness requirements
with transparent, cross-functional processes, which inform risk-balanced decisions
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NAE & DECKPLATE
Enabling decision makers with reliable “near real-time” data:
Solving Complex Problems

Endorsed by CNAF and HQMC as the primary tool of choice to meet daily, weekly,
monthly and congressional data calls

NAE decision makers use DECKPLATE
for:
 Quarterly cost war room briefs
 Readiness data to trend degraders

Metrics are consistently briefed
through:




Current Readiness Cross Functional Team
Maintenance &Supply Chain Management
The AIR Board
Best decisions ensure every dollar is wisely spent and focused on Warfighter
requirements in a timely manner, for the greatest return on investment
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NAE’s Complex Mission:
DECKPLATE provides the NAE with the ability to measure and
improve logistical processes and associated costs
File: NAVAIR Brief
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NAVAIR 6.8.4
Handling the complexities of big data in
Naval Aviation Logistics Information Technology
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DECKPLATE & Naval Aviation
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Our Customers
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Typical Data Sample
AIRCRAFT
MATERIAL
MAINTENANCE
PROCESS/
METHODS
Operating
Repairables
I-Level FY11
FY11 CPI Events
USN:
USMC:
Total:
>1200
>850
>2050
Pipeline
p
USN:
USMC:
Total:
>250
>200
>450
NSN:
Top 500:
10,500
67% of
costs
Consumables
NSN:
Top 10,000:
105,000
87% of
costs
IP:
RFI:
BCM:
D-Action:
136,216
41,657
91,780
2,779
FRC FY11
Airframes
• Scheduled:
• ISR:
Eng/Mods:
Components
• Lvl Sked:
• PBL:
431
3140
930
USN:
USMC:
FRC:
37
79
474
FY11 BCM Interdictions
IP:
Saved:
>4000
>$80M
33,133
14,307
As of 30 Jun 2011
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DECKPLATE Data Flow
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Leading Indicator Metrics
CNAF requires current and trending data relative to specific metrics in order to
proactively affect outcomes rather than react to problems
Problem
Traditional reporting:
 Does not identify problems as they emerge and unfold
 Focuses on a single subject area; does not cross subject area boundaries or provide
correlation between them
 Does not allow for ad-hoc, trended data, based on current, near real-time data
 Does not allow for instant results
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Leading Indicator Metrics
DECKPLATE Solution

Understand questions that need to be asked

Provide queries and data utilizing an Agile approach

Automate approved data aggregation and provide for on-demand retrieval
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Leading Indicator Metrics
Results

CNAF has access to near-real-time comprehensive measurements for Navy and
Marine Corps aviation maintenance and supply asset visibility

CNAF uses this data to compare supply and demand of repairable components and
resolve trended supply, and possibly manufacturer shortage issues

Metrics allow CNAF to accurately schedule deployable assets
assets, aircraft and aircrew

Aircraft downtime can be projected and a more accurate schedule can be maintained
in order to achieve more accurate readiness accounting
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Ready For Tasking (RFT)
Right aircraft, in the Right configuration, in the Right place,
at the Right time, with the Right readiness
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Ready For Tasking (RFT)

Availability, at the right time, of a properly configured aircraft and specific
aircraft mission systems

Key contributor to the accomplishment of the Fleet Response Plan
readiness objectives

Provides timely data discovery for key readiness factors, for example:
 Cannibalization
 Corrosion

RFT  “Ready Basic Aircraft”
 Aircraft with a common minimum configuration to conduct flight operations with
necessary communications, flight and safety systems required by regulations
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DECKPLATE RFT
New integrated ad-hoc subject area across:

Active and Closed Maintenance Actions
 More timely, better readiness

Supply and Cost from NAVSUP (Naval Supply Systems Command) and DLA
(Defense Logistics Agency)

MESM (Mission Essential Subsystem Matrix) and EOC (Equipment Operability
Codes)
 Used to identify aircraft subsystems with Partial Mission Capability
 Finer granularity on more data
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Daily Readiness Reporting
Current Readiness – Essential to Naval Aviation's capability posture
Problem
 Monthly data does not provide analysis for specific periods:
Deployment
 Readiness is not a binary up/down status
FMC (Full Mission Capable)
PMC (Partially Mission Capable)
NMC (Not Mission Capable)
 Complicated readiness determination
Current aircraft status
All maintenance and usage over specified time period
Sifting through massive data quantities
To what do you attribute impacts to readiness?
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Binning
Granular Aircraft Status
 15 minute “bins” generate
immense amounts of data
 Rank mission capability to
highlight aircraft availability
 Last 5 years
 Recreate maintenance activity
y
over a period of time
 Reporting timeframes show
acceptable performance
Fleet Benefits
 Highly accurate picture of aircraft readiness
 Clearly identify availability cause: supply or
unscheduled maintenance
 Trending capability data for given time periods
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Binning Challenges
Processing Billions of Records
Source Data
(5 years)
Binning
876,000,000
XRAY Status Bins
4,700
Aircraft
106,000
XRAY Status Messages
31,000,000
Maintenance Steps
Results
2,000,000,000
,
,
,
Maintenance Step
Bins
10 000 000
10,000,000
Daily Result
Records
2,600,000,000
Merge Bins
3,000,000
Flights
246,000,000
Rollup Bins
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Data Transformation
DECKPLATE does a tremendous amount of validation, processing,
and correlating of incoming data.
Expand in
Processing to
803,000,000
g Records
Incoming
EVERY DAY
Needed to
maintain
4,400,000,000
Transformation
R
Records
d
EVERY DAY
2,000,000,000
Permanent
Records
During processing, incoming data expands by 550%
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Parts Life Tracking

Baseline Configuration
 Work Unit Code (WUC)
Structure/Framework
 Maintenance Schedule
 Allowable Parts/NIIN (also cost)
 Life Limit (drives maintenance)

Actual Configuration
 Events and Usage for each WUC

Bi Data
Big
D t Challenge
Ch ll
:

Smart Aircraft
 Sensor captured usage data
 E.g. F/A-18 engines can have 1,500+ parameters on each engine
 >2,000 F/A-18 engines captured at various intervals per flight
CREATES MASSIVE DATA

“Smart Data” expanding to other platforms
 E.g. H-53 collects 37MB of data per hour of flight time
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Change Data Capture (CDC)
Big Data Refresh Challenges
 Source systems cannot provide consistent revision date information
 DECKPLATE must retrieve whole data set each time for comparison to
previous data set
 About 2 billions rows compared each day
 Comparisons moved from OS file-based to database
 Massively Parallel Processing (MPP) provides strong performance
 Code base is simpler, smaller, and easier to maintain
 Improved error logging and metrics capture
 Implemented more business rules and flexibility
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Change Data Capture (CDC)
CDC Levels
 Primary CDC performed on current vs. previous source data
 SQL used to identify Adds, Changes and Deletes
 Duplicates filtered
 Orphans reprocessed
 Compensates for data purging in the source system

Secondary CDC performed on incoming vs. warehouse data
 Ignores changes where source records are stale vs. warehouse
 Verifies source system UPSERTs
 Converts INSERTs to UPDATEs and vice-versa where needed
 Maintains warehouse integrity when source data has data issues
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Active Data Warehouse
Third Normal Form (3NF), with some:
 De-normalized query structures
Aggregated/derived data
Data expansion/explosion, then ranked and merged
Star schema/data mart (OLAP)
24x7 online availability of all data to all users
24x7
24 7 lloading
di
source data
d t
Transactional (OLTP)
Change Data Capture (CDC)
Multiple synchronous load streams (~4 at any point in time)
Massive data transformations
Combination of parallelized as well as serial/procedural loads
Predominantly UPSERT with some full data set replace (large reference data)
Massively Parallel Processing (MPP)
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DECKPLATE Tomorrow
 DECKPLATE is incrementally replacing the Naval Aviation Logistics Data Analysis
(NALDA) Aviation Data Warehouse and other legacy systems
 By 2017, a total of 15 applications will have been migrated, with their functionality
absorbed by DECKPLATE
 DECKPLATE is striving to be predictive with the capability of providing future
trending and utilizing new and emerging technologies
trending,
 Utilizing smart IT, DECKPLATE eventually will inform the Sailor/Marine of a
problem
 DECKPLATE will reduce manpower requirements needed to analyze massive
data from disparate systems to identify emerging issues and discrepancies
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Summary
 DECKPLATE is a solid investment for NAVAIR ensuring the big data challenges
facing NAE logistics IT are met
 Total of 15 legacy applications’ functionalities will be absorbed into DECKPLATE
 Modern avionics provide much more robust key performance data to meet the
increasingly complex conditions under which the Navy & Marine Corps must perform
 Greater data volumes require massive processing capabilities
 Affecting outcomes: Identifying potential problems before they happen
DECKPLATE WILL CONTINUE TO PROVIDE
QUALITY READINESS DATA TO THE WARFIGHTER
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Contact Information
CDR Christopher Hammond
Deputy Program Manager
NAVAIR 6.8.4
301-757-2311
[email protected]
Lisa Clark
Senior Vice President
Spalding Consulting, Inc.
301-737-0150
[email protected]
Troy Bekel
Vice President
Spalding Consulting, Inc.
301-737-0150
[email protected]
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