B14
INCOSE-NAFEMS 2

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17:35
conference time (CEST, Berlin)
The Democratization of the Digital Twin
27/10/2021 17:35 conference time (CEST, Berlin)
Room: B
F. Popielas, E. Ladzinski (SMS_ThinkTank LLC, USA)
F. Popielas, E. Ladzinski (SMS_ThinkTank LLC, USA)
In the ever-increasing world of product complexity, the enablement of Digital Twin capability has to be a key element of any company’s Digital Transformation initiative. This prompted a myriad of new thinking and development in the areas of data and lifecycle management; the understanding and meaning of the digital thread, digital twin, predictive and cognitive capabilities, and much more. One of the main results was that systems thinking started to take hold in the simulation community. Some years back it resulted in the thinking of “Systems Modeling and Simulation”. With the competitive push of the “digital transformation” among all industries and some underlying megatrends, such as in the mobility sector - electrification, autonomous capabilities and MaaS (mobility as a service), this transformation is now not only defining the market position of businesses but is essential for their survival. The current Covid-19 pandemic is accelerating these directions even further. These trends not only require bringing the physical and virtual worlds closer together — in order to improve the development of products, systems, processes, and services, and predict and optimize their performance while in operation (the basic idea of the Digital Twin), — but also push for the adoption of the Digital Twin at all stages of our businesses and daily lives. The Digital Twin needs to be pervasive at every part of an operational DNA, in all domains and levels of expertise. Essentially, Democratization of the Digital Twin. To achieve this requires foundational education on all levels of the “Digital Twin” and how it relates to the Digital Transformation. Furthermore, it requires new thinking on the way businesses organize themselves, operate, and behave. Comprehensive and new strategies need to be put in place to merge the holistic thinking with the execution. Only then, can existing and emerging technologies be effectively utilized. Monolithic thinking and processes are something of the past. This new, and currently unfamiliar, environment needs to operate in an open, agile, unstructured, and self-organizing manner. The Digital Twin capability plays a key role in enabling such an environment. But only the democratization of this capability will enable the achievement of the highest maturity levels in business and engineering, which will in turn ensure sustained, long-term business success. In this presentation we will address various enabling elements and the positioning of the Digital Twin as part of digital transformation initiatives for businesses, engineering maturity to the culmination “Democratization of the Digital Twin”.
Digital Twin, Digital Transformation, CMMI, Simulation, Maturity, Systems Modeling and Simulation, Sustainable Innovation, cognitive engineering, AI
17:55
conference time (CEST, Berlin)
Simulation of Automotive in the New Context of Validations
27/10/2021 17:55 conference time (CEST, Berlin)
Room: B
E. Landel (ELC, FRA)
E. Landel (ELC, FRA)
Validation and certification of vehicle tend to be extended to numerous situations, in a way to ensure the robustness of critical performances as safety, fuel consumption or autonomy for electrical vehicle. The diversity of vehicle (engine, chassis, various options) must be checked to ensure a good Representative of evaluation for all individual vehicle. The scope of this kind of validation plan become huge. The classical way using testing on proving ground or driving on open road become not adapted regarding cost and time. So, simulation is introduced to be combined with testing activities To perform an efficient validation plan, the fidelity of models of vehicle need to be controlled to ensure a high level, roughly equivalent to testing results. A vehicle is an assembly of many parts and complex sub-systems: powertrain, ADAS systems, thermal management, … These subsystems are made of mechanical parts and controllers with exchanges of information between them. The architecture is complex in a sense that many connections have to be taken into account to provide a realistic description of the vehicle. At the same time, many teams are involved in the development of each system. Developing a model at high level of fidelity request a new organization of the activities of modeling. First, a new actor must be introduced: “simulation architect”. He will be responsible of defining the needs of simulation, designing the model of the vehicle and sending requests of models for all the parts and systems. He will used new methods and tools for developing the models of the vehicle by transformation of the initial model defined in the tools of MBSE. Metamodel like Model Identity Cars (MIC) will ease the communication with model providers. This is very important to ensure delivery of elementary models at the right time and with the right level of fidelity.
automotive, validation, systems, complex, architecture, fidelity
18:15
conference time (CEST, Berlin)
SysML v2 in Support of Multi-Disciplinary Model-Based Engineering
27/10/2021 18:15 conference time (CEST, Berlin)
Room: B
H. de Koning (DEKonsult, NLD)
H. de Koning (DEKonsult, NLD)
From 2015 to 2021 OMG’s Systems Modeling Language (SysML, see https://www.omgsysml.org/) specification has undergone a substantial overhaul and upgrade, culminating in version 2 per September 2021. SysML was first released in 2008, and from 2010 onwards, a succession of incremental improvements, up to v1.6 in 2019, have been implemented in model-based systems engineering (MBSE) tools. SysML is used successfully on many industrial projects, in sectors such as aerospace, defence, automotive and civil infrastructure. It has become the de facto international standard for expressing systems engineering models, and was also adopted as the ISO/IEC 19514 standard in 2017. However, since SysML v1.x builds on top of the Unified Modeling Language specification (UML, see https://www.omg.org/spec/UML/), it inherits a number of concepts from this object-oriented software engineering standard. This can be considered both a strength and a weakness. A strength because mature UML tools could be adapted with reasonable investment to support SysML, and it provided good coverage for software-intensive systems. However, a weakness too, because the software engineering heritage created barriers for the uptake by systems engineers, and in general by engineers without a strong software engineering background. A major concern with SysML v1 is that the learning curve for systems engineers is quite steep, and unnecessarily complicated in some areas. This was also acknowledged at OMG and in 2015 work started on collecting user requirements for a RFP (Request for Proposal) for Version 2. The goal was to address all lessons learnt from the initial years of industrial usage. Since such major overhaul can only be afforded every 10 years or so, this preparation was taken very seriously and performed by a broad group end-users – representing different industry sectors and stakeholder organizations – as well as MBSE tool vendors. This resulted in two extensive RFPs: one for the language (2017), and one for the Application Programming Interface (API) and Services (2018). Since early 2018, the SysML v2 Submission Team (SST) team – consisting of roughly 180 experts from around 80 organisations –– has been developing the second version of SysML. The paper will provide an overview of the new and enhanced capabilities of SysML version 2. The focus will be on how it can assist in the coordination and harmonisation of model-based engineering across all engineering disciplines in teams working on complex systems. Such coordination is of course one of the main responsibilities of the systems engineering discipline. Integrated use of models for both problem specification as well as solution development, verification and validation will be addressed. Sharing information common to multiple discipline models is essential, and the new SysML v2 API is expected to become a key enabler to this end. Finally an outlook on further development regarding SysML v2 will be provided. The author has been involved in SysML development since 2009. He is an active member of the SysML v2 Submission Team as well as the NAFEMS/INCOSE Systems Modeling and Simulation WG.
MBSE, SysML, systems engineering, modelling, analysis, simulation
18:35
conference time (CEST, Berlin)
Data Integration is More Than Aligning Formats
27/10/2021 18:35 conference time (CEST, Berlin)
Room: B
M. Williams (The Boeing Company, USA)
M. Williams (The Boeing Company, USA)
When an author creates a model, they add features, attributes, and parameters. The model may be executable, contain library elements, and use special plugins. However, the author makes multiple important decisions that are not evident to the model consumer. Models suffer from a poverty of semantics, and people not tools, manage the integration process. The problem is worse for the sub-tier suppliers. How can we accelerate the exchange and integration of our models? This presentation explores model metadata, data that describes the model’s data, and how the metadata’s engineering context is the foundation for the digital thread.
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