Model-Based Systems Engineering, MBSE
Over the past decade, the Model Based Systems Engineering (MBSE) approach has been the perfect fit for manufacturers looking for innovative ways to reduce costs and increase quality and efficiency as well as needing to adopt digital models to support design and development.
MBSE forms a means to achieve integration between different functions and areas of the manufacturing process. It provides for mechanisms to drive engineering depth without increasing costs and the end output sees improved quality with lesser defects.
The most substantial advantage that model based systems engineering presents manufacturers is that it helps in decision making. As more data gets integrated into one system, the model tends to act as a one-stop, data-rich environment that enables fast decision making and arms them with the ability to act on solid data points.
But the thing that has really put MBSE on the map is its driving efficiency. It accomplishes this in quite a few different ways including moving the record of authority from documents to digital models including M-CAD, ECAD, SysML and UML to be managed in one single environment that can be accessed by multiple processes and subsystems.
Additionally, MBSE’s data-centric specifications enable automation and optimization, which allows engineers to focus on value-added tasks and ensure that the right approach is taken consistently.
It’s fair to say that MBSE is a more contemporary and effective approach in the digital era. In fact, NASA reported this trend by noting that MBSE has been increasingly embraced by both industry and government as a means to keep track of system complexity.
A digital-modeling environment also creates a common standards-based approach to documenting the system that can be programmatically validated to remove inconsistencies within the models and enforce the use of a standard by all stakeholders.
This common modeling environment improves the analysis of the system and reduces the number of defects that are commonly injected in a traditional document-based approach.
The availability of digitalized system data for analysis across disciplines provides consistent propagation of corrections and incorporation of new information and design decisions (i.e., state it once and automatically propagate to various views of the data) to all stakeholders. When MBSE is done properly, the result is an overall reduction of development risks.
Another major benefit of MBSE in a digital-modeling environment is that by using a digital-modeling approach, a single source of truth for the system is built in which discipline-specific views of the system are created using the same model elements.
In a document-based approach, many documents are generated by different authors to capture the system’s design from various stakeholder views, such as system behavior, software, hardware, safety, security, or other disciplines.
An MBSE approach has been proven to be most effective at improving defect prevention strategies. The approach is found to enhance the capability to find defects early in the system development life cycle (SDLC), when they could be fixed with less impact and prevented rework in later phases, thus mitigating risks to cost, schedule and mission.
The following are some desirable characteristics of MBSE approaches:
- Emphasizes a precise and complete System Architecture Model “blueprint,” typically organized using an Architecture Framework with multiple Views/Viewpoints, as the primary work artifact throughout the System Development Life Cycle (SDLC).
- Promote the use of open standards for architectural modeling and tool interoperability(e.g., SysML, UML 2, XMI, AP233), where these open standards are used to specify the System Architecture Model and to serve as a lingua franca among Systems Engineers and other stakeholders (Software Engineers, Electrical Engineers, Mechanical Engineers, Customers, etc.).
- Ensures that the System Architecture Model is architecture-centric to the extent that all model elements must maintain structural and functional integrity relationships, and support full derivation traceability across all system stakeholder Views and Viewpoints.
- Combine traditional Systems Engineering best practices with architecture modeling best practices.
Model-Based Systems Engineering Training Course by Tonex
Model-Based Systems Engineering (MBSE) Training Courses introduce you to the notions and philosophies behind Model-Based System Engineering. They also review the tools, models and requirements associated with MBSE in various fields.
Some things you will learn:
What Is A System?
INCOSE refers to a system as the combination of elements constructed or gathered together, produce the results that are not reachable by each individual element, alone.
In addition, the elements of a system are connected to each other through defined relationships in such a way they demonstrate coherency and neat organization.
Moreover, the system elements should be arranged in a way that follows a defined objective or goal. In fact, the components of a system should be built in order to accomplish sets of specific tasks with the objective of generating the desired results.
The design of the system should illustrate the following characteristics:
In What Language Does A System Communicate?
The system language varies with the system properties mentioned above — the entities, attributes and relationships. The system language is a critical matter as it describes and shares the system characteristics between the engineers of a team as well as to other stakeholders.
The system language enables each system to be presented in a hierarchical approach, which allows demonstrating the system in its subunits. Such subunits are traditionally named:
Subunits divide into subsystems, then subsystems into assemblies, assemblies into subassemblies and finally subassemblies into parts.
The parts of a system interact with each other to produce the operation of the whole system. Obviously, all the elements of the system have to function as designed so that the entire system can operate accurately. Nevertheless, how the operation of each individual element can impact the operation of the entire system is not clear. That is because the impacts of interaction within the system are often very complicated.
- Functional behavior
- Verification and validation.
MBSE Major Elements
- Functional currents and improved functional flows
- Physical block
- Systems Engineering Solutions
- Robust and agile analysis
- Requirements definition
- Systems verification
- End-to-end monitoring
- Broad behavioral modeling illustrating control flow, function flow and interface flow
- System simulations
- Performance models
- Combined Model-Based
- Model Based Operational and System Architecture
What Are the MBSE Process Specifications?
- Applicable to any System or System-of-Systems
- It is not mandatory, but highly recommended and encouraged to apply
- Applicable in very specific and precise performances
- Scalable to projects with more than 100 engineers
- Flexible to be used for Agile + Lean techniques
- Needs to be precisely targeting a certain industry
Why Do You Need MBSE?
- MBSE enhances the ability to understand, evaluate, communicate and manage the data associated with the complete definition and specification of a product.
- Improved communication among the stakeholders.
- Enhanced ability to manage the system complication by modeling the system to be viewed from different points, and to analyze the impact of changes.
- Higher quality by delivering a sharp and precise model of the system that can be evaluated for coherency, properness and wholeness.
- Enhanced methods of gathering and re-using information by getting information in more organized approaches and empowering built-in concept mechanisms inherent in model driven approaches.
- Improved ability to train the systems engineering fundamentals by demonstrating a sharp vision of the ideas behind.
More About MBSE
MBSE is a holistic, systems engineering approach centered on the evolving system model, which serves as the “sole source of truth” about the system. It comprises system specification, design, validation and configuration management.
The notion and philosophy that backs up MBSE came from the need to create a means to facilitate analyzing and understanding complex systems via modeling. Modeling allows you to clarify the requirements, design, evaluation, verification, and validation activities associated with the system being studied. MBSE can be applied in any stage of the developing a system from the conceptual design, through development and to entire life cycle phases.
Model-based systems engineering essentially demonstrates a process of thinking. It offers a framework to allow systems engineering personnel to be productive and reliable during the entire process.
The MBSE methodology contains models that consider the entire engineering problem as a whole, employ a consistent language to describe the problem and the solution, create a well-studied solution, and comprehensively fulfill all the system requirements demonstrated by the problem. These tools associated with model-based systems engineering are critical when seeking a solution to the systems design problem.
MBSE focuses on substituting the document-based techniques to enhance the practice of systems engineering by completely comprehending the definition of systems engineering procedures.
Why Choose Tonex for Your MBSE Training?
- Our instructors have extensive experience in MBSE in both aspects of academia and industry.
- Training courses encompass both theoretical and practical material.
- The practical section of the courses include labs, individual/group activities and hands-on workshops.
- The topics for the practical activities are chosen from real-world scenarios and case studies.
- Once you participate in our courses, you become our clients permanently, meaning we will be there if you need our help even when the course is over.
Register for Tonex Model-Based Systems Engineering (MBSE) Training Courses, Introduction to Model-Based Systems Engineering (MBSE) and SysML, taught by the industry’s leading Systems Engineering, MBSE and SysML thought leaders.
Tonex Courses conclude with group discussion topics, hands-on activities, case studies and labs designed to facilitate MBSE learning. Discover what MBSE is and how it compares to traditional SE. Also you will take a deeper look at the overall benefits of systems engineering, MBSE and SysML and the adoption of these technologies in the industry.
You will understand SysML coverage and how it supports MBSE as well as learn how MBSE methods and models are used to plan, specify and design systems and Systems of Systems (SoS).
Learn how organizations can benefit and transition methods to MBSE.
Model-Based Systems Engineering (MBSE) Training Courses
Model-Based Systems Engineering (MBSE) Infographic | MBSE Infographic
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