Depot Supportability Analysis F136 FET

Report
An Implementer's View of the
Interoperability of Logistics and
Product Data Standards
ACDM Conference 2010
March 21-24, Williamsburg, Va.
Parker Owen
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1
Why Interoperable Product Data Standards
•
Accurate/Current:
‾
•
Re-usable:
‾
•
“Right Data at the Right Time used to derive the Right
Information”
Leverage the investment in supportability analysis in
Production & Deployment and Operations & Support
Long Term Use:
‾
The Data may (must) live as long as the program
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A Sampling of Legacy, Current and
Evolving Standards
•
Support Analysis and Related Standards
–
•
Mil-Std -1552 / D220, Mil-Std-1388-2A, Mil-Std -1388-2B,
Mil-Prf-49506, Def-Stan 0060, ASD 1000D, ASD 2000M,
ASD 3000L, GEIA-Std-0007, ISO10303 AP 239
Configuration Management and Product Data Standards
–
Mil-Std-973, Mil-Std-2549, EIA-836, ISO10303 AP 203,
232, pdm schema
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What Standards are the “Best”
•
What standard (or set of standards) is:
the “best;”
– most commonly used;
– most mature;
– provides the “most business value”
–
•
•
Many of the standards have been in production use for
a long time, e.g., MIL-STD-1388-2B
Many standards have been in development / evolving
for a long time
–
… common joke: ISO standards evolve at glacial
speed
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4
Aerospace & Defense Product Life Cycle
Data Standards / Technology Enablers
MIL-STD-973 / 2549,
EIA-836, STEP AP 203,
232, pdm schema
C M / PDM
Java
Defense and
Aerospace
ILS
XML
.NET
MIL-STD-1388-2B
MIL-PRF-49506, GEIASTD-0007, DefStan 0060, STEP AP 239
(PLCS), ASD 1000D /
2000M / 3000L
Non-Defense (“best
commercial practice”)
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What is a Software Vendor to do?
•
… while trying to,
–
–
•
provide the best business value to the target customer base,
– ensure existing programs can continue to satisfy contract
deliverables
– ensure existing programs can mature with new requirements
– enable new programs to satisfy new requirements
stay in business
Implement applicable pieces of applicable standards
–
–
Even if for some reason you want to “eat an elephant,” you can
only do so one bite at a time.
Many of the standards provide data exchange sets (smaller
domains of the entire scope of the standard) to enable the
exchange (and implementation) of a subset of the data definition.
–
Examples, STEP pdm schema, AP 239: Dex 001: Product Breakdown
for Support
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Life Cycle Supportability Data Flow
MANUFACTURING/
PRODUCTION
DESIGN
ENGINEERING
Source Data
Engineering
Data:
Drawing, Model,
Metrics…
Specific
Requirements
One-Way Data Flow
Two-Way collaboration,
reconciliation, coordination
Management Analysis,
Influence, Direction
Product/ Support Data
Specs and Parameters
Delivered
Data/Structure
Design
Data/Structure
90021
165443 ‘
165837 ‘
MANAGEMENT
OVERVIEW
PBL Metrics:
Management & Planning
Supportability
Analysis
R&M, Task
Analysis,
Provisioning,
LCC,…
IN-SERVICE/
SUPPORT
Serialized
Part Data:
Shared Use
Of Data
Tech
Pub/ IETM
Data
IPB / IPC/
IPL
Data and
Graphics
Training
Data
ERP
Data
Maintenance
In-Service
Data/Structure
Initial Product/
Support Definition
Data Mgmt System
Asset Management
Spares Ordering,
Inventory Mgmt,
Obsolescence
Planning, …
165443 ‘
165837 ‘
‘
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7
ISS Projects in Different Product Life Cycle Domains
MANUFACTURING/
PRODUCTION
DESIGN
ENGINEERING
Source Data
Engineering
Data:
Drawing, Model,
Metrics…
Specific
Requirements
One-Way Data Flow
Two-Way collaboration,
reconciliation, coordination
Management Analysis,
Influence, Direction
Product/ Support Data
Specs and Parameters
Delivered
Data/Structure
Design
Data/Structure
90021
165443 ‘
165837 ‘
II: Engineering Design
MANAGEMENT
Intent Data Usage
OVERVIEW
PBL Metrics:
Management & Planning
Supportability
Analysis
R&M, LSA,
Provisioning,
LCC,…
IN-SERVICE/
SUPPORT
I: Support
Analysis Data
IPB / IPC/
Usage
Tech
Shared Use
Of Data
Pub/ IETM
Data
IPL
Data and
Graphics
Training
Data
ERP
Data
Serialized
Part Data:
Maintenance
In-Service
Data/Structure
III: Asset
Initial Product/
Support Definition
Data Mgmt System
Asset Management
Spares Ordering,
Inventory Mgmt,
Obsolescence
Planning, …
165443 ‘
Tracking
165837 ‘
‘
Information
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8
Life Cycle Supportability Data Flow
MANUFACTURING/
PRODUCTION
DESIGN
ENGINEERING
Source Data
Engineering
Data:
Drawing, Model,
Metrics…
Specific
Requirements
One-Way Data Flow
Two-Way collaboration,
reconciliation, coordination
Management Analysis,
Influence, Direction
Product/ Support Data
Specs and Parameters
Delivered
Data/Structure
Design
Data/Structure
90021
165443 ‘
165837 ‘
MANAGEMENT
OVERVIEW
PBL Metrics:
Management & Planning
Supportability
Analysis
R&M, LSA,
Provisioning,
LCC,…
IN-SERVICE/
Shared Use
Of Data
Tech
Pub/ IETM
Data
IPB / IPC/
IPL
Data and
Graphics
Training
Data
ERP
Data
Initial Product/
Support Definition
Data Mgmt System
Interface Between
Design, Support, and
SUPPORT
Technical Documentation
Asset Management
Serialized
• Integrate Released Design intent with
Part Data:
Supportability
Analysis (i.e., BOM,Spares
CM,Ordering,
…)
Maintenance
Inventory Mgmt,
• Integrate both
with Tech pubs authoring
Obsolescence
In-Service
Data/Structure
Planning, …
and accurate Provisioning Documentation
165443 ‘
165837 ‘
‘
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Systems,
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9
Life Cycle Supportability Data Flow
MANUFACTURING/
PRODUCTION
DESIGN
ENGINEERING
Source Data
Specific
Requirements
One-Way Data Flow
Two-Way collaboration,
reconciliation, coordination
Engineering
Data:
Drawing, Model,
Metrics…
Product/ Support Data
Specs and Parameters
Delivered
Data/Structure
Design
Data/Structure
90021
Management Analysis,
Influence, Direction
165443 ‘
165837 ‘
MANAGEMENT
OVERVIEW
PBL Metrics:
Management & Planning
Supportability
Analysis
R&M, LSA, Between Design and
Interface
Provisioning,
LCC,…
Production
ERP
Data
IN-SERVICE/
SUPPORT
•SharedIntegrate
As-Authorized/Committed withSerialized
Use
Of Data
As-Designed, As-Planned, As-Built.
Part Data:
Maintenance
IPB
/ IPC/
• Provide
aIPL
common
(standard)
Tech
In-Service
Pub/
IETM Data andto report and review
infrastructure
Data/Structure
Data
Graphics
“Configuration
Verification” in the various 165443 ‘
165837 ‘
lifeTraining
cycle
states.
‘
Data
Initial Product/
Support Definition
Data Mgmt System
Asset Management
Spares Ordering,
Inventory Mgmt,
Obsolescence
Planning, …
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Integrated
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Systems,
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10
Life Cycle Supportability Data Flow
MANUFACTURING/
PRODUCTION
DESIGN
ENGINEERING
Source Data
Specific
Requirements
One-Way Data Flow
Two-Way collaboration,
reconciliation, coordination
Management Analysis,
Influence, Direction
Interface Between Built / Maintained with Design
Product/ Support Data
ERP
As-Delivered
with As-Maintained
Specs and Parameters
Data
Drawing, Model,
Metrics…
Delivered
• Provide a common (standard) infrastructure
Data/Structure
Design
‘
collect, distill and report actual R&M 165443
Data/Structure
165837 ‘
90021performance characteristics in a usable format.
Engineering
•Data:
Integrate
MANAGEMENT
OVERVIEW
PBL Metrics:
Management & Planning
Supportability
Analysis
R&M, LSA,
Provisioning,
LCC,…
IN-SERVICE/
SUPPORT
Serialized
Part Data:
Shared Use
Of Data
Tech
Pub/ IETM
Data
IPB / IPC/
IPL
Data and
Graphics
Training
Data
Maintenance
In-Service
Data/Structure
Initial Product/
Support Definition
Data Mgmt System
Asset Management
Spares Ordering,
Inventory Mgmt,
Obsolescence
Planning, …
165443 ‘
165837 ‘
‘
© 2008,
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Systems,
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11
Use of Standards In Life Cycle Supportability
MANUFACTURING/
PRODUCTION
DESIGN
ENGINEERING
One-Two -Way
Data Flow
Two-Way
collaboration,
reconciliation,
coordination
Engineering
Data:
STEP AP 203
214 / 232 /
pdm schema
Design
Data/Structure
90021
Product Structure Data,
Specs and Parameters
165443 ‘
165837 ‘
STEP AP 232, 214, pdm schema
Supportability
Analysis
IN-SERVICE/
SUPPORT
LSAR
1388-2B,
00-60,
S1000D,
(S3000L)
S2000M
Tech
Pub/ IETM
Data
IPB / IPC/
IPL
Data and
Graphics
Training
Data
Delivered
Data/Structure
Serialized
Part Data:
Maintenance
In-Service
Data/Structure
165443 ‘
165837 ‘
‘
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(STEP AP 239,
EIA 836)
Drawing, Model,
Metrics…
ERP
Data
Initial
Product/
Support
Definition
Asset Management
Spares Ordering,
Inventory Mgmt,
Obsolescence
Planning, …
*** Many (most?) production
exchanges are point to point,
proprietary implementations
12
Interoperable Product Data Standards
•
Interoperability will:
‾
Enable more accurate and timely derived information
‾ Make data more re-usable
‾ Improve the quality of the data in the “databases of
authority”
‾ Make data more survivable
•
Interoperability can evolve
‾
Implement to the level of interoperability, and in the
domain(s), as determined by the derived business value
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13

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