All Things Model-Based and Digital - SSSE · digital transformation 1. Look across the silos 2....
Transcript of All Things Model-Based and Digital - SSSE · digital transformation 1. Look across the silos 2....
9/3/2019
1
DE, v2, and 2.0:A Discussion of All (SE) Things Model-Based and DigitalDavid Long
President, Vitech Corporation
Former President and Fellow, INCOSE
Copyright © 2019 by Vitech.
Connecting People, Disciplines, and Insights:Essential Context for Systems Engineering
Systems engineering focuses on ensuring the pieces
work together to achieve the objectives of the whole.Systems Engineering Body of Knowledge (SEBoK) 2
Investors
Architects
Designers
Engineers
Builders / Programmers
Inspectors
Operators
Users
Image credit:US Department of Transportation
9/3/2019
2
3
CONCEPT DEVELOPMENT
Classical Engineering in a Complicated World
REQUIRED
R1
R2.2
R1.1
R2.3
R2
R2.1
R1.2
R3
R4.2
R4.1
R
R4
R5
BEHAVIOR
F1
F2.2
F3.1
F2
F2.1
F3.2
F3
F4.2
F4.1
F
F4
F5
F3.3
F6
F6.2
F6.1
L1.2
L3.1
L1
L1.1
L3.2
L3
F4.2
F4.1
L
L4
F5
L3.3
L2
STRUCTURE
Systems Challenges in Today’s World:Exceeding the Capabilities of Traditional (S)E
4
SE Vision 2025. Copyright © 2014 by INCOSE. All rights reserved.
Complexity exceeding
the bounds of
traditional siloed
approaches
Image credit: Alisa Farr for Letter27. farrimages.com
9/3/2019
3
5
MBSE 1.0: A Well-Intentioned – but flawed – Approach
Seeing the Bigger Picture:What MBSE Should Be All About
6
• Making system descriptive and analytical models explicit, coherent, and consistent• Evolution from low-fidelity representations in documents to higher-fidelity, richer
representations
• Improved granularity of knowledge capture for management, analysis, and learning
• One architectural model connecting multiple analytical models
• Leveraging models for communication and analysis
• Developing an “authoritative source of truth” for system design and specification
• Ensuring consistent design and specification (when done well)
• Providing an explicit system model to engineering teams
An evolution – not revolution – in thinking and approach…An evolution that offers transformative results
9/3/2019
4
Seeing MBSE in the Greater ContextDigital Engineering, v2, MBE, and a manifesto
7NDIA Model-Based Engineering
Final Report, February 2011
A New Digital Engineering Strategy(June 2018)
8
9/3/2019
5
A Muddy Sidebar:Models, MBSE, and Digital Engineering
9
Model: a graphical, mathematical (symbolic), physical, or verbal representation or simplified version of a concept, phenomenon, relationship, structure, system, or an aspect of the real world.
www.businessdictionary.com
Model: a physical, mathematical, or otherwise logical representation of a system, entity, phenomenon, or process.
DoD5000.59-M 1998
Model-based systems engineering (MBSE) is the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases.
INCOSE SE Vision 2020, September, 2007
Digital Engineering: an integrated digital approach that uses authoritative sources of systems' data and models as a continuum across disciplines to support lifecycle activities from concept through disposal.
ODASD-SE, 2017
A Notable Shift for SysML:The Vision for SysML v2
10
• Increase adoption and effectiveness of MBSE by enhancing• Precision and expressiveness of the language
• Consistency and integration among language concepts
• Interoperability with other engineering models and tools
• Usability by model developers and consumers
• Key elements• New metamodel that is not constrained by UML
• Robust visualizations based upon flexible view and viewpoint specification and execution
• Standardized API to Access the Model
• Proposed timeline• Initial submission Jun 2020; final Jun 2021
Credit Sandy Friedenthal, 2019 INCOSE International Workshop
9/3/2019
6
Transforming Engineering: A New Manifesto
11
Transforming the Engineering Enterprise through MBSE 2.0
12
9/3/2019
7
Exceeding the Capabilities of Traditional (S)E: Capturing Knowledge, Responding to Change
13Image credit: Alisa Farr for Letter27. farrimages.com
System scale
Mission complexity
Technical complexity
Project team complexity
Dynamic complexity
Transforming from Siloed Engineering (MBSE 1.0)
14
CONCEPT DEVELOPMENT
REQUIRED
R1
R2.2
R1.1
R2.3
R2
R2.1
R1.2
R3
R4.2
R4.1
R
R4
R5
BEHAVIOR
F1
F2.2
F3.1
F2
F2.1
F3.2
F3
F4.2
F4.1
F
F4
F5
F3.3
F6
F6.2
F6.1
L1.2
L3.1
L1
L1.1
L3.2
L3
F4.2
F4.1
L
L4
F5
L3.3
L2
STRUCTURE
9/3/2019
8
REQUIRED BEHAVIOR STRUCTURE AS DESIGNED AS BUILTAS ORDERED AS DELIVERED AS SERVICED
CONCEPT DEVELOPMENT PRODUCTIONUTILIZATION &
SUPPORT
RETIR
E
Functioning in an interdependent environment requires that every team possess a holistic understanding of the interaction between all the moving parts.
Team of Teams, 2015
to Concurrent Engineering of Systems (MBSE 2.0)
which Resets the Equation for MBSE
16
Engineering of Systems / Digital Thread / Digital Twin / Digital Engineering
requires
Concurrency
requires
Concurrent MBSE / MBSE 2.0
is maximized by
Re-engineering the Engineering Enterprise
built upon
A Holistic Systems Perspective
9/3/2019
9
Understanding Concurrency and Concurrent MBSE
17
MBSE 2.0(aka Concurrent MBSE)
concurrent MBSE(the ability for a team of systems engineers
to work on their systems model in parallel)
concurrent MBSE(the ability for a systems team to effectively
engage all members and stakeholders)
concurrent MBSE(the ability to effectively engage detailed
design within the Engineering of Systems
framework while eliminating the air gap)
Identifying the Keystone: The Systems Metamodel as the Foundation for the Engineering Enterprise
18
…more than diagrams
…more than a data dictionary
…more than capture
…more than specification
…more than the system of interest
9/3/2019
10
Identifying the Keystone: The Systems Metamodel as the Foundation for the Engineering Enterprise
19
Moving the Focus from Engineering Artifacts to Engineering Systems
20
9/3/2019
11
Power at the Enterprise Level: Shared Understanding, Program Cycle Disruption, Course Correction
Customer
Chief Engineer
Hardware
Software
Safety
Reliability, Availability,Maintainability
Manufacturability
SecurityTest
Logistics
Maintenance
Operations
Environmental
Training & Personnel
Publications
Program Mgt.
Configuration Management
Systems Engineering Team
22
9/3/2019
12
Power at the Systems Level:Ensuring Consistency in Behavior and Structure
23
What does my component do?
Power at the Systems Level:Ensuring Consistency in Behavior and Structure
24
What does my component talk to?
9/3/2019
13
Power at the Systems Level:Ensuring Consistency in Behavior and Structure
25
Power in Connecting Design:Dynamic Technical Data Packages with Context
26
• Interface definitions
• Incoming and outgoing signals
• Required functionality
• Design constraints
• Associated requirements
• Test requirements
• Physical and behavioral context
• Rationale and design history
• Analytical dependencies
• Multidimensional traceability
9/3/2019
14
Achieving Seamless Analytical Simulation:Systems Engineering with Rigor
27
Connecting from Strategy through to Requirements
28
Operational SystemStrategic
System Architecture
UserNeeds
Subsystem Requirements
Concept of Operations
Stakeholder & System
Requirements
Purpose & Priorities
Credit: Spencer Tech
9/3/2019
15
Enhancing Enterprise Performance through MBSE 2.0
29
Connecting architecture and analysis
Moving from custom built to composability Leveraging patterns and architecture
Aligning through an “Authoritative Source of Truth”
Moving from Challenges to Success: Engineering Systems in the Age of Complexity
30
Advancing your organization’s
digital transformation1. Look across the silos
2. Define the as-is and to-be for scope,
context, and capabilities
3. Implement a semantically rich systems
metamodel
4. Begin the journey for your engineering
enterprise
Knowledge retention and organizational
learning enabled by a proven metamodel
. . . increasing effectiveness, reuse, and
return on investment.
Insight into interactions and dependencies,
both direct and indirect . . . equipping the
team to respond effectively in the face of
complexity and reduce mission risk.
Shared understanding of problem and
solution across the team . . . resulting in
resilient architectures and elegant
solutions informed by the wisdom of
multiple viewpoints.
Authoritative source of truth reflecting both
design and rationale . . . accelerating
programs and reducing costs by effective
thru-life knowledge management.
9/3/2019
16
Questions
David Long, ESEP
President
2270 Kraft Drive
Suite 1600
Blacksburg, VA 24060
USA
+1.540.951.3322 x107
www.vitechcorp.com
@thinkse
31