A Taxonomy for Model-Based Systems Engineering

2021 ◽  
Author(s):  
João P. Monteiro ◽  
Paulo J. S. Gil ◽  
Rui M. Rocha
Keyword(s):  
Systems Engineering ◽  
System Development ◽  
Emergent Properties ◽  
System Specification ◽  
Academic Context ◽  
Model Based ◽  
Development Processes ◽  
Expected Benefits ◽  
Model Based Systems Engineering ◽  
Execution Models

Abstract In this paper, we define Model Based Systems Engineering (MBSE) as a set of different approaches which vary in scope and in purpose, as opposed to defining it as a monolithic concept. To do so, we inductively extract common themes from papers proposing new MBSE methods based on the type of Systems Engineering (SE) artifacts produced and the expected benefits of MBSE implementation. These themes are then validated against the experiences depicted in a second set of papers evaluating the deployment of MBSE methods in practice. We propose a taxonomy for MBSE which identifies three main categories: system specification repositories, system execution models, and design automation models. The proposed categories map well onto common discussions of the nature of the SE activity, in that the first is employed in the management of system development processes and the second in the understanding of system performance and emergent properties. The third category is almost exclusively discussed in an academic context and is therefore more difficult to relate to SE practice, but its features are clearly distinct from the other two. The proposed taxonomy clarifies what MBSE is and what it can be, therefore helping focus research on the issues that still prevent MBSE practice from living up to expectations.

scholarly journals Munich Agile MBSE Concept (MAGIC)

2019 ◽  
Vol 1 (1) ◽  
pp. 3701-3710 ◽  
Author(s):  
Vahid Salehi ◽  
Shirui Wang
Keyword(s):  
Continuous Improvement ◽  
Systems Engineering ◽  
Data Exchange ◽  
System Development ◽  
Phase 3 ◽  
New Approach ◽  
Incremental Design ◽  
Development Processes ◽  
Manufacturing Technologies ◽  
Model Based Systems Engineering

AbstractModel-based systems engineering (MBSE) is well-known in gaining the control over the complexity of systems and the development processes, while agile is a project management methodology originally from software development that uses short development cycles to focus on continuous improvement in the development of a product or service. In this paper, we adopt the concept of agile into MBSE and then proposed the new approach - Munich Agile MBSE Concept (MAGIC). The highlights of the MAGIC approach can be concluded as 1) the requirements which have been defined in the first stage will be examined and traced at each following stages; 2) communication between every 2 stages always exists in order to have a close connection during each system development phase; 3) the idea of Industry 4.0 has been included and reflected to achieve automation and data exchange with manufacturing technologies; 4) the concept of IOT (Internet of Things) is also considered when it comes to the usage and service of the system to satisfy the customer's needs; 5) the whole spirit of agile is reflected as the iterative and incremental design and development

scholarly journals ON THE USE OF MODEL BASED SYSTEMS ENGINEERING AND CAD FOR THE DESIGN OF PHYSICAL PRODUCTS

2021 ◽  
Vol 1 ◽  
pp. 2317-2326
Author(s):  
Bernhard Meussen
Keyword(s):  
Physical Properties ◽  
Systems Engineering ◽  
Business Models ◽  
Cad Systems ◽  
Model Based ◽  
Digital Business Models ◽  
Development Processes ◽  
Link Model ◽  
Technical Systems ◽  
Model Based Systems Engineering

AbstractModel based systems engineering is often used as an alternative to the document based design of software or other technical systems. Its focus lies on the modelling of procedural aspects of the products, rather than on physical aspects. In mechanical engineering, the geometry and the physical properties of the product like strength, stiffness, kinematic and kinetic behaviour are described by CAD-systems. This paper tries to link model based systems engineering tools with modern CAD tools to facilitate the digitization of the development processes of physical products as part of the digitization of new digital business models.

scholarly journals Economic Analysis of Model-Based Systems Engineering

Systems ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 12 ◽  
Author(s):  
Azad Madni ◽  
Shatad Purohit
Keyword(s):  
Systems Engineering ◽  
Large Scale ◽  
Cost Benefit Analysis ◽  
System Development ◽  
Cost Benefit ◽  
Cost Effective ◽  
Model Based ◽  
Regulatory Constraints ◽  
Long Run ◽  
Model Based Systems Engineering

In the face of ever-increasing complexity of systems and system development programs, several aerospace, automotive, and defense organizations have already begun or are contemplating the transition to model-based systems engineering (MBSE). The key challenges that organizations face in making this decision are determining whether it is technically feasible and financially beneficial in the long-run to transition to MBSE, and whether such transition is achievable given budgetary constraints. Among other cost drivers of this transition, are a new digital infrastructure, personnel training in MBSE, and cost-effective migration of legacy models and data into the new infrastructure. The ability to quantify gains from MBSE investment is critical to making the decision to commit to MBSE implementation. This paper proposes a methodological framework for analyzing investments and potential gains associated with MBSE implementation on large-scale system programs. To this end, the MBSE implementation problem is characterized in terms of: system complexity, environment complexity and regulatory constraints, and system lifespan. These criteria are applied to systems in twelve major industry sectors to determine MBSE investment and expected gains. Results from this cost-benefit analysis are used to justify investment in MBSE implementation where warranted. This approach is generic and can be applied to different sectors for economic evaluation of costs and benefits and justification of transition to MBSE if warranted.

Model-Based Systems Engineering and Control System Development via Virtual Hardware-in-the-Loop Simulation

2010 ◽  
Author(s):  
Lawrence Michaels ◽  
Sylvain Pagerit ◽  
Aymeric Rousseau ◽  
Phillip Sharer ◽  
Shane Halbach ◽  
...  
Keyword(s):  
Control System ◽  
Systems Engineering ◽  
System Development ◽  
Hardware In The Loop ◽  
Model Based ◽  
And Control ◽  
Model Based Systems Engineering

Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit/Information Quality in Product Engineering: Model-Based Systems Engineering in Explicit Consideration of Uncertainty

Konstruktion ◽  
2020 ◽  
Vol 72 (11-12) ◽  
pp. 76-83
Author(s):  
Jens Pottebaum ◽  
Iris Gräßler
Keyword(s):  
Systems Engineering ◽  
Information Quality ◽  
Engineering Model ◽  
Model Based ◽  
Product Engineering ◽  
Explicit Consideration ◽  
Model Based Systems Engineering

Inhalt Unscharfe Anforderungen, verschiedene Lösungs-alternativen oder eingeschränkt gültige Simulationsmodelle sind Beispiele für inhärente Unsicherheit in der Produktentwicklung. Im vorliegenden Beitrag wird ein modellbasierter Ansatz vorgestellt, der das industriell etablierte Denken in Sicherheitsfaktoren um qualitative Aspekte ergänzt. Modelle der Informationsqualität helfen, die Unsicherheit von Ent- wicklungsartefakten beschreibend zu charakterisieren. Mittels semantischer Technologien wird Unsicherheit so wirklich handhabbar – nicht im Sinne einer Berechnung, sondern im Sinne einer qualitativen Interpretation. Dadurch entsteht wertvolles Wissen für die iterative Anforderungsanalyse, die Bewertung alternativer System-Architekturen oder für die Rekonfiguration von Simulationen.

Sign in / Sign up

Export Citation Format

Share Document