An Implementer's View of the Interoperability of Logistics and Product Data Standards

1. An Implementer's View of the Interoperability of Logistics and Product Data Standards ACDM Conference 2010 March 21-24, Williamsburg, Va. Parker Owen

2. Why Interoperable Product Data Standards • Accurate/Current: • “Right Data at the Right Time used to derive the Right Information” • Re-usable: • 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

3. 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

4. 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

5. Aerospace & Defense Product Life Cycle Data Standards / Technology Enablers MIL-STD-973 / 2549, EIA-836, STEP AP 203, 232, pdm schema C M / PDM Defense and Aerospace MIL-STD-1388-2B MIL-PRF-49506, GEIA-STD-0007,DefStan 00-60, STEP AP 239 (PLCS), ASD 1000D / 2000M / 3000L Java I L S Defacto and Industry Standard Technologies / Enablers XML .NET Non-Defense (“best commercial practice”)

6. 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

7. Life Cycle Supportability Data Flow MANUFACTURING/ PRODUCTION Product/ Support Data Specs and Parameters ERP Data Delivered Data/Structure 165443 ‘ 165837 ‘ 90021 IN-SERVICE/ SUPPORT Serialized Part Data: Maintenance Spares Ordering, Inventory Mgmt, Obsolescence Planning, … In-Service Data/Structure 165443 ‘ 165837 ‘ ‘ DESIGN ENGINEERING Data Mgmt System Engineering Data: Drawing, Model, Metrics… Source Data Specific Requirements Design Data/Structure One-Way Data Flow MANAGEMENT OVERVIEW Two-Way collaboration, reconciliation, coordination Two-Way collaboration, reconciliation, coordination Management Analysis, Influence, Direction PBL Metrics: Management & Planning Initial Product/ Support Definition Supportability Analysis Delivered Product Data Definition R & M Data Feedback R&M, Task Analysis, Provisioning, LCC,… Product/ Process/ Cost Improvements Asset Management Shared Use Of Data Field Data Feedback IPB / IPC/ IPL Data and Graphics Tech Pub/ IETM Data Training Data IETMs, Condition-Based Maintenance, etc.

8. MANUFACTURING/ PRODUCTION Product/ Support Data Specs and Parameters ERP Data Delivered Data/Structure 165443 ‘ 165837 ‘ 90021 IN-SERVICE/ SUPPORT Serialized Part Data: Maintenance Spares Ordering, Inventory Mgmt, Obsolescence Planning, … In-Service Data/Structure 165443 ‘ 165837 ‘ ‘ ISS Projects in Different Product Life Cycle Domains DESIGN ENGINEERING Data Mgmt System Engineering Data: Drawing, Model, Metrics… Source Data Specific Requirements Design Data/Structure One-Way Data Flow II: Engineering Design Intent Data Usage MANAGEMENT OVERVIEW Two-Way collaboration, reconciliation, coordination Two-Way collaboration, reconciliation, coordination Management Analysis, Influence, Direction PBL Metrics: Management & Planning Initial Product/ Support Definition Supportability Analysis Delivered Product Data Definition R & M Data Feedback R&M, LSA, Provisioning, LCC,… Product/ Process/ Cost Improvements I: Support Analysis Data Usage Asset Management Shared Use Of Data Field Data Feedback IPB / IPC/ IPL Data and Graphics Tech Pub/ IETM Data III: Asset Tracking Information Training Data IETMs, Condition-Based Maintenance, etc.

9. MANUFACTURING/ PRODUCTION Product/ Support Data Specs and Parameters ERP Data Delivered Data/Structure 165443 ‘ 165837 ‘ 90021 IN-SERVICE/ SUPPORT Serialized Part Data: Maintenance Spares Ordering, Inventory Mgmt, Obsolescence Planning, … In-Service Data/Structure 165443 ‘ 165837 ‘ ‘ Life Cycle Supportability Data Flow DESIGN ENGINEERING Data Mgmt System Engineering Data: Drawing, Model, Metrics… Source Data Specific Requirements Design Data/Structure One-Way Data Flow MANAGEMENT OVERVIEW Two-Way collaboration, reconciliation, coordination Two-Way collaboration, reconciliation, coordination Management Analysis, Influence, Direction PBL Metrics: Management & Planning Initial Product/ Support Definition Supportability Analysis Delivered Product Data Definition R & M Data Feedback R&M, LSA, Provisioning, LCC,… • Interface Between Design, Support, and Technical Documentation • Integrate Released Design intent with Supportability Analysis (i.e., BOM, CM, …) • Integrate both with Tech pubs authoring and accurate Provisioning Documentation Product/ Process/ Cost Improvements Asset Management Shared Use Of Data IPB / IPC/ IPL Data and Graphics Tech Pub/ IETM Data Training Data IETMs, Condition-Based Maintenance, etc.

10. MANUFACTURING/ PRODUCTION Product/ Support Data Specs and Parameters ERP Data Delivered Data/Structure 165443 ‘ 165837 ‘ 90021 IN-SERVICE/ SUPPORT Serialized Part Data: Maintenance Spares Ordering, Inventory Mgmt, Obsolescence Planning, … In-Service Data/Structure 165443 ‘ 165837 ‘ ‘ Life Cycle Supportability Data Flow DESIGN ENGINEERING Data Mgmt System Engineering Data: Drawing, Model, Metrics… Source Data Specific Requirements Design Data/Structure One-Way Data Flow MANAGEMENT OVERVIEW Two-Way collaboration, reconciliation, coordination Two-Way collaboration, reconciliation, coordination Management Analysis, Influence, Direction PBL Metrics: Management & Planning Initial Product/ Support Definition Supportability Analysis Delivered Product Data Definition • Interface Between Design and Production • Integrate As-Authorized/Committed with As-Designed, As-Planned, As-Built. • Provide a common (standard) infrastructure to report and review “Configuration Verification” in the various life cycle states. R & M Data Feedback R&M, LSA, Provisioning, LCC,… Product/ Process/ Cost Improvements Asset Management Shared Use Of Data IPB / IPC/ IPL Data and Graphics Tech Pub/ IETM Data Training Data IETMs, Condition-Based Maintenance, etc.

11. MANUFACTURING/ PRODUCTION Product/ Support Data Specs and Parameters ERP Data Delivered Data/Structure 165443 ‘ 165837 ‘ 90021 IN-SERVICE/ SUPPORT Serialized Part Data: Maintenance Spares Ordering, Inventory Mgmt, Obsolescence Planning, … In-Service Data/Structure 165443 ‘ 165837 ‘ ‘ Life Cycle Supportability Data Flow DESIGN ENGINEERING • Interface Between Built / Maintained with Design • Integrate As-Delivered with As-Maintained • Provide a common (standard) infrastructure collect, distill and report actual R&M performance characteristics in a usable format. Data Mgmt System Engineering Data: Drawing, Model, Metrics… Source Data Specific Requirements Design Data/Structure One-Way Data Flow MANAGEMENT OVERVIEW Two-Way collaboration, reconciliation, coordination Two-Way collaboration, reconciliation, coordination Management Analysis, Influence, Direction PBL Metrics: Management & Planning Initial Product/ Support Definition Supportability Analysis Delivered Product Data Definition R & M Data Feedback R&M, LSA, Provisioning, LCC,… Product/ Process/ Cost Improvements Asset Management Shared Use Of Data IPB / IPC/ IPL Data and Graphics Tech Pub/ IETM Data Training Data IETMs, Condition-Based Maintenance, etc.

12. MANUFACTURING/ PRODUCTION Product Structure Data, Specs and Parameters ERP Data Delivered Data/Structure 165443 ‘ 165837 ‘ 90021 165443 ‘ 165837 ‘ ‘ Use of Standards In Life Cycle Supportability DESIGN ENGINEERING One-Two -Way Data Flow Two-Way collaboration, reconciliation, coordination Engineering Data: Drawing, Model, Metrics… STEP AP 203 214 / 232 / pdm schema Design Data/Structure STEP AP 232, 214, pdm schema (STEP AP 239) (EIA 836) Supportability Analysis (STEP AP 239) (STEP AP 239, EIA 836) Delivered Product Data Definition Initial Product/ Support Definition R & M Data Feedback IN-SERVICE/ SUPPORT Product/ Process/ Cost Improvements LSAR 1388-2B, 00-60, S1000D, (S3000L) Asset Management Serialized Part Data: Maintenance (STEP AP 239) S2000M Spares Ordering, Inventory Mgmt, Obsolescence Planning, … Supportability Data Feedback IPB / IPC/ IPL Data and Graphics Tech Pub/ IETM Data In-Service Data/Structure *** Many (most?) production exchanges are point to point, proprietary implementations IETMs, Condition-Based Maintenance, etc. Training Data

13. 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