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Unclassified
1.0
As of 16 Aug 2018
Caleb McPhersonUSAMC LOGSA
COMPASS Software Engineer
Overview and Discussion
PSA, LORA, and COMPASS
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Outline
PSA, LORA, & COMPASS• Overview• Conducting a LORA• Concepts and Processes
Using COMPASS• Developing a Model
COMPASS 7.3• Work done since 7.2.2• Future Efforts
Lessons Learned
2
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PSA, LORA, & COMPASS
3
Process and Tool
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LORA Overview
4
Level of Repair Analysis (LORA)
• Analytical Methodology used to establish the maintenance policy at which an item will be replaced, repaired, or discarded
• Determines cost effective maintenance concept of a system
• Recommendations based upon economic and non-economic factors
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LORA Overview
Supports development of maintenance policy
Utilizes Multiple Data Sources
• LPD
• FMECA/FTA
• MTA
Results
• Optimized balance between Operational Availability and Maintenance Cost
• Drives the Product Support Strategy and Product Support Package
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LORA continually influences and supports decisions.
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Why Conduct a LORA
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Operations and Maintenance typically accounts for most of Total Ownership Cost (TOC)
LORA optimizes life cycle logistics support cost • Logistics Footprint• Design Influence and Optimization
Savings from a properly conducted LORA can be in the millions of dollars
Development
Acquisition
Operations
Maintenance
Development
Acquisition
Operations
Maintenance
Potential
Savings
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Frequency of a LORA
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“Starting the LORA process early in a system’s development, and continuous evaluation throughout its life cycle, can ensure a LORA influences the systems’ design and the maintenance planning… After the system has been fielded, follow-on analyses should be scheduled that include the use of field feedback data. The extent and detail of LORA should be tailored to the life cycle phase of the program.”
– Product Support Analysis, MIL-HDBK-502A
MSA TM&RR E&MD P&D O&S
PDR CDR
First
LORA
Non-economic
Identify items to be
designed for discard or
repair
Macro-level estimates
for sustainment
resources
First
Economic
LORA
Economic inputs better defined
Opportunities to influence the
design decrease
Refined/Revised
LORA
Analysis of any changes:
• Equipment
(Modifications, ECPs)
• Equipment Operations
(Operational Hours)
• Equipment Maintenance
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Objectives are Phase Driven
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During design phases, LORA shows consequences of various maintenance configurations by evaluating the non-economic factors and the high-level cost of logistics support for each alternative
LORA measures the cost of failure frequency and failure duration (downtime), and thus influences the design for more cost-effective alternatives
Potential problems with operational availability, life cycle maintenance costs, etc., are identified and avoided
After design is approved, LORA minimizes the requirement for spares and support resources
The approved maintenance plan anticipates future equipment repair workloads, and ensures the availability of proper parts, trained technicians, support equipment, tools, and facilities
A properly constructed and funded maintenance structure minimizes downtime durations affordably
Pre-Acquisition
Concepts,
Experimentation
and Prototyping
Material
Solution
Analysis
Technology
Maturation & Risk
Reduction
Engineering
& Manufacturing
Development
Production
&
Deployment
Operations
&
Support
MDD IOC FOCBA C
Establishing
S&T
Dis
po
sa
l
Pre-Acquisition
Concepts,
Experimentation
and Prototyping
Material
Solution
Analysis
Technology
Maturation & Risk
Reduction
Engineering
& Manufacturing
Development
Production
&
Deployment
Operations
&
Support
MDD IOC FOCBA C
Establishing
S&T
Dis
po
sa
l
FRP/
FD
FRP/
FD
Pre-
EMD
Pre-
EMD
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Design
Update
PSA and LORA
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LORA is a part of ongoing Supportability Analysis activities.
Reliability &
Maintainability
Predictions
System Reliability
Block Modeling
Failure Mode & Effects
Analysis
(FMEA/FMECA)
Fault Tree
Analysis
(FTA)
Reliability Centered
Maintenance Analysis
Trade-off
Analysis
LORAMTALCSP TMs
Adapted from SAE GEIA-STD-0007-B
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LORA Process
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LORAInputsAcquisition & Planning Documents
FMEA / FMECA
LPD
RAM
RCM
MTA
Transportation
Historical Data
Fault Isolation
Operational Constraints
Programmatic Constraints
Policy Constraints
Enviromental Constraints
Safety Assessments
Discard
Organic
Levels
Depot
RecommendationsMaintenance Concept
SMR Code
Support Equipment Planning
Personnel Planning
Parts Provisioning / Sparing
Technical Publications Data
Maintainability Data
Facilities
Non-Economic
Analysis
Economic
Analysis
Sensitivity
Analysis
Ou
tpu
t A
na
lys
is
LORA
Candidates
List
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COMPASS and LORA
Requirements
• Operation Requirements
Policy
• Support Environment
LORA/COMPASS Input
• Availability Target
• Operating Hours
• Number of Systems
• Echelons authorized
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LORA and FMECA
FMECA
• Identification of critical failure modes to mission success
LORA/COMPASS Input:
• Failure Mode– LRU and SRU
– MTBF
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LORA and MTA
MTA
• Analysis of task requirements
LORA/COMPASS Inputs:
• Special Equipment
• Personnel
• MTTR
LORA/COMPASS Output
• Optimal echelon for replacement action
• Placement of Special Equipment and Personnel
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LORA Process
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Develop COMPASS
Model
Optimized Maintenance
Policy
Policy Impact Study
Sensitivity Analysis
LPD
RAM
RCM
FMECA
MTA
LORA
Report
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Failure Modes
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Indenture
Weapons
System
Inoperable
Assembly
Inoperable
LRU
Failed
SRU
Failed
Ind
en
ture
Ind
en
ture
Dep
ot
Level
Fie
ld L
evel
Depot
Remove
& Replace
LRU
XLRU LRU
Weapons
Systems
Assembly
Ship
failed
LRU to
Depot
X
Discard
failed SRU
to DepotSRU
Ship
repaired
LRU to
Field
LRU
Remove
&
Replace
SRU
SRU
LRU
LRUX
Field
XSRU
1 2
3
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Using COMPASS
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Designing a LORA Model
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LORA Candidates
Identify LORA candidates
• Considerations– Availability Impact
– MTBF
– Unit Cost
– MTTR
– Support Resources Required
Equipment
Personnel
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Considerations will vary between programs.
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Physical Breakdown Maintenance Breakdown
Maintenance Breakdown Concept
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End Item
Random Item
LRU #2
LRU #1
SRU #1
NLRU #1
Random Item
End Item
LRU #2
LRU #1
SRU #1
NLRU #1
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End Item and Support Environment
Populate End Item Physical Item Info
• Unit Price, Repair Methods
Populate Support Environment Information
• Echelons Info, Supply Data, Labor, Shipping
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LRU Data Population
Create LRU
Populate Item Information
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Add New Item
Duplicate Item
Promote/Demote Item
Filter List
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SRU Data Population
Create SRU
Populate Item Information
Define Parent LRU and Associated MTBF
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Validating the Model
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Validation occurs in the GUI
Required fields are flagged in red
• Hover over a red field will display the reason
• Red text describes issues
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Optimization
All required fields must be populated
Selected from Analysis Dropdown
Optimization Results
• Policy per Failure Mode
• Cost Estimate
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Evaluator
Evaluate non-optimal Policies
Measure Maintenance Policy effects
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Sensitivity Analysis
STAT
• One-Factor-At-A-Time (OFAT/OFT) Methodology
• Displays impact of a single parameter change
Validation limits are applied
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COMPASS 7.3
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Improving Economic LORA
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COMPASS 7.3
One Year Later
• Assessing User Needs
• Studying COMPASS underlying concepts
• Implementing Improvements to support DoD needs
New Features
• Improved Imports– SAE GEIA-STD-0007
– FEA Excel
• STAT Re-Write– Improved GUI
– Guided Assessment
• Core Depot Assessment Candidates
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STAT Update
Updated GUI
• Proper selections and disabling
• Improved validation
• More Data Returned
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STAT Rewrite
Guided STAT
• Automated parameter selection
• Sortable results
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Lessons Learned
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Understanding LORA
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Lessons Learned
Focus on Failure Modes– End Item LRU SRU
– Resultant policies are specific to the failure mode
– Resultant spares are per item
– Supply Action
Importance of Maintenance Perspective– 3 Level Indenture
– Access is not replacement
– Focus on Failure Modes
Importance of LORA Community Connection– Source of software feedback
– Making LORA understandable
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