#SysML

[govindhtech]

Why SysML v2 Changes IBM Rhapsody Systems Engineering

IBM Rhapsody Systems Engineering

Using IBM Rhapsody in conjunction with SysML v2 for Advanced Systems Engineering Application. IBM is pleased to present a web-based solution designed specifically for systems engineering teams: IBM Rhapsody Systems Engineering. It enables them to leverage growing design complexity into a competitive advantage and provide their end users with smarter, more sophisticated, more competitive solutions.

Systems by their very nature become more complicated over time as new capabilities are introduced more quickly than old ones are eliminated, both during the initial design phase and during update design. A system becomes harder to understand as complexity rises, which raises the degree of unpredictability. Emergence of new behaviors might have unanticipated and even disastrous consequences. But without complexity, “everyone could do it” when it comes to competitive products and solutions.

Based on a number of important technologies, IBM Rhapsody Systems Engineering enables clients to strike a balance between complexity and competitiveness. Modern web technologies, the standard SysML v2 modeling language for systems engineering, and integration with digital threads and other engineering disciplines are some of these major technologies.

Web-based program, developed from the bottom up

For all members of the systems engineering team, including practitioners and reviewers, domain architects, compliance and security officers, design partners, and suppliers, IBM Rhapsody Systems Engineering provides contemporary and user-friendly workflows. A web browser and a URL are all you need to use the program. The quick and easy installation, configuration, and maintenance of product components that are given in containers is advantageous to administrators.

Based on SysML V2

Systems Engineering at IBM Rhapsody deploys SysML V2. Working with SysML V2 textual representations of the models, this modeling language allows practitioners to build complex systems graphically using specialized graphic editors, adjustable browsers, and a rich, configurable set of completeness and correctness tests.

Rhapsody Systems Engineering can be tailored by professionals in tools and methods to assist workflows and processes both inside and across projects within an organization. This modification extends much beyond the SysML V2 standard to include user-defined extensions that employ the various APIs, like Python or JavaScript. It offers modeling guidelines and a uniform experience across the entire enterprise.

SysML v2

SysML v2 is a systems engineering modeling language update. SystemML v2 is being developed to improve on SysML v1 and make it a more robust, versatile, and efficient modeling language for complex systems. Improve model interoperability, usability, and expressiveness with SysML v2.

SysML 2 Tools

Tools and environments expected to support or being developed for SysML v2 include:

Dassault Systèmes’ Cameo Systems Modeler is a popular SysML-supporting systems engineering tool. These new capabilities are expected to improve model-based systems engineering in Cameo with SysML v2.

MagicDraw: Dassault Systèmes’ award-winning business process, architectural, software, and system modeling tool supports UML, BPMN, and SysML. SysML v2 support is anticipated in future releases.

Sparx Systems Enterprise Architect: Sparx Systems’ modeling tool supports SysML and other languages. SysML v2 support is expected in the platform release.

SysML support is extensive in Papyrus, an open-source model-based engineering tool. SysML v2 support is being added by the developer community.

OpenMBEE: OpenMBEE is an open-source model-based engineering ecosystem. It should support SysML v2 and integrate with engineering tools and environments.

Phoenix Integration��s ModelCenter allows engineering tool and model integration. It may use SysML v2 to improve system modeling.

No Magic Modeling Solutions: Dassault Systèmes ecosystem solutions like Cameo Enterprise Architecture should support SysML v2. System-of-systems engineering is among their many modeling skills.

Future of SysML v2

The creation of SysML v2 advances systems engineering. It should meet complicated system development needs and give developers a more powerful language. Systems engineers will benefit from improved capabilities, integration, and model robustness when tools and environments adopt SysML v2.

A component of the Engineering Lifecycle Management system from IBM

For the purpose of taking part in an open, federated, and versioned digital thread for engineering artifacts, including support for global configurations, IBM Rhapsody Systems Engineering connects with IBM Engineering Lifecycle Management (ELM). It integrates with downstream engineering domains like software design with production code generation, using Siemens Xcelerator portfolio for E/E, H/W, and mechanical design, and IBM Rhapsody Developer and Designer. Open Services for Lifecycle Collaboration (OSLC) or other APIs are used for this integration. Customers can manage digital threads that span many domains and connect systems engineering and downstream design domains with this integration.

Find out more right now about Rhapsody Systems Engineering

The new standard for model-based systems engineering languages, contemporary web-based user experiences and workflows, and connections with other engineering domains and digital threads are all provided by IBM Rhapsody Systems Engineering. It gives systems engineering teams the ability to become more competitive while controlling the risks involved in designing intricate systems and systems of systems. It assists in “guiding and orchestrating the entire technical effort, including hardware, software, test, and specialty engineering to ensure the solution satisfies its stakeholder needs and expectations,” according to INCOSE’s definition in their 2035 vision paper.

Read more on Govindhtech.com

[engineersretreat]

SysML Distilled

Coverage Includes:

✅ Why SysML was created and the business case for using it

✅ Quickly putting SysML to practical use

✅ What to know before you start a SysML modeling project

…..And more

[moose-mousse]

The sexiest diagram ever made

This is a 6D diagram... of all types of UML diagrams of systems and tests for any system in the entire world. And... while a bit busy, it covers... everything in a neat and clear way... Its just... its so pretty!!! Source:

[spockandawe]

What do you do for a living? If you don't mind me asking.

Not at all! I'm an engineer! My background is reliability, but these days I'm more of a systems engineer. I work primarily with SysML modeling tools, and like an overconfident Foole, I promised a colleague I could model some new things (which I didn't know how to do yet), and then, naturally, it took me longer than expected to actually comprehend the process and then to actually add those things to the model.

I like the field a lot! It's a job where I sound very silly when I try to describe it as fun, but it involves a lot of taking a technical system of some kind, and abstracting out layers of its logical and physical structure. It's like solving a puzzle, where i have to also specify all the pieces I'm fitting together. Right now I'm leveling up in terms of specifying flows (information, control, materiel, etc), which will THEN level up the simulations I can run and how useful my work can be. SysML work is trendy in my professional circles these days, and I got a slightly late start, but MAN do i love this, i want to claw my way closer to the front of the pack

[aitoolswhitehattoolbox]

Systems Engineer (Systems Integration Analyst)

techniques. 5. Direct and oversee hardware/software integration, system-level integration testing, and requirement verification… traceability tool Experience using model-based design methods (SysML or UML) and associate software applications e.g. Rhapsody… Apply Now

[passquestion]

OMG-OCSMP-MBF200 SysML Model Builder Fundamental Exam Prep | Free Practi...

[atplblog]

Price: [price_with_discount] (as of [price_update_date] - Details) [ad_1] “This new edition is brighter, shinier, more complete, more pragmatic, more focused than the previous one, and I wouldn’t have thought it possible to improve on the original. As the field of software architecture has grown over these past decades, there is much more to be said, much more that we know, and much more that we can reflect upon of what’s worked and what hasn’t―and the authors here do all that, and more.” ―From the Foreword by Grady Booch, IBM Fellow Software architecture―the conceptual glue that holds every phase of a project together for its many stakeholders―is widely recognized as a critical element in modern software development. Practitioners have increasingly discovered that close attention to a software system’s architecture pays valuable dividends. Without an architecture that is appropriate for the problem being solved, a project will stumble along or, most likely, fail. Even with a superb architecture, if that architecture is not well understood or well communicated the project is unlikely to succeed. Documenting Software Architectures, Second Edition, provides the most complete and current guidance, independent of language or notation, on how to capture an architecture in a commonly understandable form. Drawing on their extensive experience, the authors first help you decide what information to document, and then, with guidelines and examples (in various notations, including UML), show you how to express an architecture so that others can successfully build, use, and maintain a system from it. The book features rules for sound documentation, the goals and strategies of documentation, architectural views and styles, documentation for software interfaces and software behavior, and templates for capturing and organizing information to generate a coherent package. New and improved in this second edition: Coverage of architectural styles such as service-oriented architectures, multi-tier architectures, and data models Guidance for documentation in an Agile development environment Deeper treatment of documentation of rationale, reflecting best industrial practices Improved templates, reflecting years of use and feedback, and more documentation layout options A new, comprehensive example (available online), featuring documentation of a Web-based service-oriented system Reference guides for three important architecture documentation languages: UML, AADL, and SySML Publisher ‏ : ‎ Addison-Wesley; 2nd edition (21 October 2010) Language ‏ : ‎ English Hardcover ‏ : ‎ 592 pages ISBN-10 ‏ : ‎ 0321552687 ISBN-13 ‏ : ‎ 978-0321552686 Item Weight ‏ : ‎ 975 g Dimensions ‏ : ‎ 16.51 x 4.06 x 23.88 cm [ad_2]

[jcmarchi]

Leveraging AI, Digital Twins, and AR/VR for Enhanced Aircraft Maintenance and Repair

New Post has been published on https://thedigitalinsider.com/leveraging-ai-digital-twins-and-ar-vr-for-enhanced-aircraft-maintenance-and-repair/

Leveraging AI, Digital Twins, and AR/VR for Enhanced Aircraft Maintenance and Repair

Leading aircraft manufacturers have been under intense pressure since early January, when a panel blew off a brand-new Alaska Airlines 737 Max midflight. While this issue was front and center for one manufacturer specifically, the event has spotlighted a lengthy series of safety and manufacturing problems that have piled up for the industry over the years. These events have placed traditional maintenance and repair procedures under focus, and have intensified the need to leverage new technologies to improve procedures.

The integration of advanced technologies like Artificial Intelligence (AI), digital twins, and Augmented Reality/Virtual Reality (AR/VR) is drastically changing these traditional approaches to aircraft maintenance and repair. Airlines and aerospace manufacturers are increasingly turning to these innovative solutions to optimize maintenance procedures, enhance safety protocols, and reduce operational costs.

The aerospace, defense and other industrial sectors have a mission need to modernize their infrastructure to improve the operational efficacy by using digital twin technologies. The existing processes of operation, training and maintenance heavily relies on two-dimensional paper-based manuals with minimal digital modeling available.

The lack of existing digital models severely hampers operational efficiency, mission planning and aircraft readiness. Digital twins now revolutionize the way we design, build, operate, and repair physical objects and systems. The digital transformation of the industrial processes requires it to incorporate digital twin technologies that help provide the best possible tools for decades to come.

Aerospace manufacturers still face a bevy of challenges, including a lack of extensive 3D CAD models. For legacy aircrafts, very limited 3D models are available, and most of the models, requirements, and specifications are in 2D form. Generating accurate 3D models using dedicated scanners and digital modifications based on the 2D data using traditional methods is very expensive and time consuming. Additionally, most 3D scanning software keep the models in proprietary formats significantly limiting the usefulness of the models due to restricted interoperability.

Additional challenges include the ability to Incorporate the generated 3D models into existing SysML workflows and/or creating flexible workflows which are not tied into proprietary models and systems. To simulate the standalone behavior of each model and sub-system, as well as the interaction between different sub-systems, manufacturers need to incorporate the 3D model and their physical behavior into a system simulation model using SysML. This requires creating a framework for ingesting all the individual and combined system requirements into a SysML workflow, parameterizing the model configurations, simulating, and monitoring the behavior of individual components as well as their interactions.

AI-Powered Predictive Maintenance

Aircraft maintenance has traditionally relied on scheduled checks and reactive repairs based on reported issues. However, AI-driven predictive maintenance is now transforming this approach by leveraging data analytics and machine learning algorithms to predict potential failures before they occur. Airlines are harnessing AI to monitor vast amounts of data collected from sensors embedded within aircraft components, engines, and systems. This real-time data is analyzed to detect subtle patterns indicative of impending malfunctions or performance degradation.

AI algorithms can detect anomalies in data patterns, such as engine temperature fluctuations or irregular vibration signatures, which might indicate underlying issues. By continuously monitoring and analyzing this data, AI can accurately forecast when specific components might require maintenance or replacement, enabling airlines to schedule repairs proactively during routine maintenance intervals. This shift from reactive to predictive maintenance not only enhances safety by reducing the risk of unexpected failures but also optimizes operational efficiency and minimizes downtime.

The Role of Digital Twins

Digital twins are virtual representations of physical assets, such as aircraft, created using real-time data collected from sensors, historical maintenance records, and operational inputs. This technology enables aerospace manufacturers and airlines to simulate and visualize the performance of aircraft components and systems in a virtual environment. By integrating AI algorithms into digital twin models, operators can gain valuable insights into the health and operational status of individual aircraft and their components.

For aircraft maintenance, digital twins offer a transformative approach by providing a comprehensive understanding of an aircraft’s condition and behavior. Maintenance crews can utilize digital twins to simulate different operational scenarios and assess the potential impact on aircraft performance and maintenance requirements. This allows for more accurate planning of maintenance activities, optimized spare parts inventory management, and enhanced decision-making based on predictive analytics.

Digital twins also facilitate remote monitoring and diagnostics, enabling maintenance teams to identify issues without physical inspection. For instance, using real-time data from digital twins, AI algorithms can recommend specific maintenance actions based on the current condition of critical components, thereby reducing the need for manual inspections and improving overall maintenance efficiency.

Incorporating 3D Technology Into Digital Twins

Leading digital twin solution providers today are reshaping how industrial sectors utilize AI and spatial computing for digital twins, automation and robotics applications. These providers leverage the advancements in immersive XR interfaces, AI, and cloud technologies to provide an open, modular, high-precision, and scalable AI-powered cloud platform for fast, accurate and cost-effective 3D digital twin creation that boosts efficiency, automation and productivity in manufacturing, operations, training and sustainment.

With the proliferation of high-quality sensors, namely high-resolution color cameras, depth sensors (such as LIDARs), motion sensors, and eye-trackers, built into these COTS devices – providers have access to very high-quality spatial data to generate accurate 3D spatial maps in near real-time. Companies are primarily limited by the computation and power (battery) of these mobile devices. Today’s platforms streamline 3D scanning and digital twin workflows while using cloud computing to enable affordable consumer hardware to exceed its standard capability.

These solutions overcome mobile device limitations in battery life and computation by processing data in the cloud (on premises/air gapped or remotely such as AWS GovCloud). This enables rapid generation of detailed 3D models with millimeter accuracy from sensors in mobile phones, tablets, and XR headsets with full fidelity of the model and no noticeable lag.

By moving the most intensive processing tasks to the cloud, AI-driven software produces high quality point clouds from inexpensive COTS devices. This significantly accelerates digital twin creation compared to traditional methods. Today’s newer commercial solutions enable fast and accurate 3D point cloud generation using an XR headset as the capture device, while processing all the data on a server PC.

AR/VR Applications in Maintenance and Training

Augmented Reality (AR) and Virtual Reality (VR) technologies are reshaping aircraft maintenance procedures and technician training programs. AR overlays digital information onto the technician’s field of view, providing real-time guidance and instructions during maintenance tasks. For example, AR can superimpose schematics, checklists, or diagnostic data onto physical aircraft components, allowing technicians to perform complex repairs more accurately and efficiently.

VR, on the other hand, is revolutionizing technician training by offering immersive and interactive simulations of maintenance procedures in a virtual environment. Trainees can practice complex tasks, such as engine disassembly or wiring repairs, without the need for physical aircraft access. VR simulations can replicate different aircraft models and scenarios, providing hands-on experience in a safe and controlled setting.

Benefits and Future Outlook

The integration of AI, 3D spatial digital twins, and AR/VR technologies in aircraft maintenance and repair functions offers a multitude of benefits for airlines and aerospace manufacturers. Enhanced predictive maintenance capabilities reduce operational disruptions, extend aircraft lifespans, and optimize maintenance costs. Digital twins provide a holistic view of aircraft health, enabling proactive decision-making and streamlined maintenance processes. AR/VR technologies improve technician efficiency and proficiency, ultimately enhancing overall safety and reliability. With these technologies at the forefront, aerospace manufacturers and airlines can greatly improve the process of aircraft maintenance and repair.

[riahst]

Unlocking Business Agility: A Comprehensive Guide to the OMG-OCSMP-MBA400 Exam

In today's rapidly evolving business landscape, organizations are increasingly turning to model-based approaches to enhance their operational efficiency, optimize resource allocation, and drive innovation. The Object Management Group (OMG) offers a comprehensive certification program, including the OMG-Certified Systems Modeling Professional - Model Builder Advanced (OMG-OCSMP-MBA400) exam, designed to validate professionals' proficiency in advanced system modeling techniques and methodologies.

Click here for more information about exam OMG-OCSMP-MBA400 :

Unlocking Business Agility: A Comprehensive Guide to the OMG-OCSMP-MBA400 Exam

Understanding the OMG-OCSMP-MBA400 Exam

The OMG-OCSMP-MBA400 exam is targeted towards individuals who possess a deep understanding of system modeling concepts and techniques and are capable of applying advanced modeling practices to solve complex business challenges. Whether you're a systems architect, business analyst, or software engineer, obtaining certification in OMG-OCSMP-MBA400 demonstrates your expertise in developing sophisticated system models that support strategic decision-making and drive organizational success.

Exam Overview

The OMG-OCSMP-MBA400 exam covers a wide range of topics, reflecting the diverse skill set required to excel in advanced system modeling. Here's an overview of key areas covered in the exam:

Advanced Modeling Concepts: This section delves into advanced modeling techniques and methodologies, including model abstraction, decomposition, and aggregation. Candidates are expected to demonstrate their ability to develop complex system models that accurately represent real-world scenarios.

Modeling Languages: Proficiency in modeling languages such as SysML (Systems Modeling Language) and UML (Unified Modeling Language) is essential for effective system modeling. This section assesses candidates' knowledge of modeling language syntax, semantics, and best practices.

Modeling Tools and Techniques: Familiarity with modeling tools and techniques is crucial for streamlining the modeling process and maximizing productivity. Candidates are expected to demonstrate proficiency in using modeling tools to create, analyze, and validate system models.

Model-Based Analysis and Simulation: Model-based analysis and simulation enable organizations to evaluate system behavior, identify potential issues, and make informed decisions. This section evaluates candidates' ability to conduct thorough analysis and simulation of system models to assess performance and reliability.

Model-Based Engineering Practices: Model-based engineering practices promote collaboration, transparency, and traceability throughout the system development lifecycle. Candidates are assessed on their understanding of model-based engineering principles and their ability to integrate model-based practices into existing workflows.

Preparation Tips

Preparing for the OMG-OCSMP-MBA400 exam requires a combination of theoretical knowledge and practical experience in system modeling. Here are some tips to help you succeed:

Study the Exam Syllabus: Familiarize yourself with the exam syllabus provided by OMG, which outlines the topics covered in the exam and serves as a roadmap for your preparation.

Master Modeling Languages: Invest time in mastering modeling languages such as SysML and UML, including their syntax, semantics, and modeling constructs.

Hands-on Experience: Gain practical experience by working on modeling projects and applying advanced modeling techniques to real-world scenarios.

Utilize Resources: Take advantage of study guides, practice exams, and online resources to reinforce your understanding of key concepts and enhance your exam readiness.

Engage in Collaborative Learning: Collaborate with peers, participate in study groups, and engage in discussions to exchange ideas and insights about system modeling practices.

Click here for more information about exam OMG-OCSMP-MBA400 :

Unlocking Business Agility: A Comprehensive Guide to the OMG-OCSMP-MBA400 Exam

Conclusion

Achieving certification in OMG-OCSMP-MBA400 demonstrates your expertise in advanced system modeling and positions you as a valuable asset to organizations seeking to enhance their business agility and innovation capabilities. By mastering the topics covered in the OMG-OCSMP-MBA400 exam and obtaining certification, you validate your proficiency in advanced modeling techniques and methodologies, empowering you to drive organizational success through effective system modeling practices. So, embark on your journey to becoming an OMG-OCSMP-MBA400 certified professional, and unlock new opportunities for career advancement in the dynamic field of system engineering and modeling!

[govindhtech]

IBM Engineering Systems Design Rhapsody 10.0.1 Declaration

Rational Rhapsody 10.0.1

Design of IBM Engineering Systems Strong model-based systems engineering (MBSE) tools like Rhapsody make it easier to design, analyze, and validate complex systems and create software based on those models. The complete product development lifecycle, including specification, development, testing, and delivery, is easily integrated into Rhapsody thanks to its strong support for the unified modeling language (UML) and systems modeling language (SysML).

IBM Engineering Systems Design Rhapsody

Deliver software and systems of higher quality more quickly with digital threading across domains, production code generation, smooth simulation, and reliable modeling.

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What services does Rhapsody offer?

With its suite of tools, IBM Engineering Systems Design Rhapsody (formerly known as Rational Rhapsody) provides a tried-and-true method for modeling and systems design tasks, enabling you to handle the complexity that many organizations encounter while developing new products and systems. Rhapsody is a component of the IBM Engineering portfolio, offering systems engineers a collaborative design, development, and testing environment that supports AUTOSAR import and export capabilities along with UML, SysML, and UAF. Furthermore, the solution speeds up industry standards like ISO 26262, DO-178, DO-178B/C, and UPDM and permits control of defense frameworks like DoDAF, MODAF, and UPDM.

Advantages

Provides ongoing validation

Utilize quick simulation, prototyping, and execution to get ongoing validation and address mistakes early on, when they can be fixed more affordably.

Offers automated consistency verification

Employ collaborative reuse and automatic consistency checking to boost agility and lower recurring and non-recurring expenses.

Work together with your engineering group

With the use of design tools like Mathworks Simulink or Engineering Systems Design Rhapsody, you can share, work with, and evaluate your engineering lifecycle artifacts with the larger engineering team.

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Usability

Simplify the design process with a cutting-edge UX that lets you customize the tool interface to your own requirements and tastes, making model visualization simpler.

Crucial characteristics of IBM Rhapsody goods

Examine and clarify the project’s needs

System specifications, interface design papers, and system test cases are automatically generated by the software using SysML, UML, UAF, and AUTOSAR import and export capabilities.

Go from design to implementation quickly

With the use of UML, it provides an affordable comprehensive software engineering environment for graphically designing C++, C, or Java applications.

Create documentation and automate design reviews

Using a central repository accessible via the web, Rhapsody – Model Manager facilitates cross-disciplinary team collaboration, sharing, review, and management of designs and models. Customers and suppliers can use a web client to access information. The program streamlines stakeholder communication, expedites decision-making, and enhances quality by automating design evaluations. Comprehensive documentation can be produced for reporting, compliance, communication, and specifications.

Develop, model, and implement designs for early verification

In addition to having all the features of Rhapsody Architect for Systems Engineers, Rhapsody – Designer for Systems Engineers enables you to simulate, prototype, and carry out designs for early requirements, architecture, and behavior validation. This is a model-based system engineering (MBSE) environment that makes use of the widely used SysML and UML frameworks. With enhanced validation and simulation, it shortens time-to-market, increases productivity, and helps you adjust to changing client requirements.

Engage in an agile engineering environment that is embedded and real-time

Agile software engineering environment for C++, C, Java, and Ada that is embedded and real-time (includes MISRA-C and MISRA-C++) is provided by Rhapsody – Developer. Along with the features of IBM Engineering Systems Design Rhapsody (Rational Rhapsody) – Architect for Software, it offers fast prototyping and simulation for design-level debugging, automated build generation for continuous integration, and support for safety-critical software lifecycle issues.

Allow for the smooth integration of the AUTOSAR standard. The AUTOSAR Extension is a part of IBM Rhapsody Model-Driven Development (MDD). This potent combination streamlines and expedites the process of developing automotive software, freeing up developers to concentrate on building reliable and effective solutions that satisfy the stringent demands of the modern industry.

Rhapsody 10.0.1

IBM is pleased to announce the introduction of IBM Engineering Systems Design Rhapsody version 10.0.1, which includes several new features and changes aimed at optimizing usability, automation, and integration.

Improved DOORS 9 integration promotes consistency and productivity

Rhapsody 10.0.1 enhances accuracy, traceability, and smoother operations by providing closer connection with the IBM Requirements Management DOORS system.

The new ReqXChanger interaction with DOORS 9 is crucial to this release. With better requirement visualization and traceability straight within Rhapsody, ReqXChanger replaces the Rhapsody Gateway and enables a more efficient workflow between Rhapsody and DOORS.

With seamless movement across the digital thread connecting DOORS and Rhapsody, users can now access and inspect model diagrams and elements in DOORS 9. The transition to the improved functionality is easy and seamless.

Change-aware synchronization maintains requirements and model in sync between Rhapsody 10.0.1 and DOORS 9, reducing effort and complexity in tracking changes in artifacts. To fit the unique requirements and surroundings of the users, this synchronization can be automated and tailored.

Extending IBM collaboration with Siemens to improve systems design through automation and integration

IBM has one major enhancement in this release as part of our continued collaboration between the Siemens and IBM product teams. By combining several components, this improvement aims to strengthen the digital thread and promote visibility, traceability, and interoperability.

Now, you may establish connections between Siemens Teamcenter specifications and parameters and model elements: To correlate Teamcenter requirements and parameters with model elements, choose them in the Rhapsody UI. Request the enabling plug-ins by contacting Siemens.

Significant improvements to workflows, usability, and testing

Better testing and usability are more important as system design complexity and interconnection increase. To address this difficulty, Rhapsody 10.0.1 has added new features and improved Test Conductor, such as increased test case coverage that offers a thorough rundown of all test cases. By transferring message-related test scenarios across multiple architectures, a technical preview of Message Mapper further streamlines scenario mapping.

Additional parallel development prompts improve design process efficiency by warning users when they are working with out-of-date model versions, streamlining merge operations, and fostering better teamwork. The product interface has been improved, allowing for more menu controls, such as toolbar and pop-up menu items, to enable complex customisation.

Rhapsody 10.0.1’s enhancements to the Rhapsody AUTOSAR Extension aid teams in managing challenging projects and increasing output. The installation package includes updated example models that are useful for understanding and implementing AUTOSAR standards.

Try out Rhapsody 10.0.1, IBM Engineering Systems Design, right now

Rhapsody 10.0.1 keeps up its good work as a top MBSE tool by providing enhanced automation, usability, and integration to facilitate the design and implementation of complex systems. Additionally, it advances the cooperation between IBM and Siemens Digital Industries Software in their quest to develop strong system engineering tools that empower businesses to design, develop, and produce high-performing, environmentally friendly products.

Read more on govindhtech.com

[ericvanderburg]

Systems Modeling Language (SysML)

http://securitytc.com/SzTw9w

[spockandawe]

People I'd like to know better

Tagged by: @sunderedstar

Oooh an opportunity to talk about me, don't mind if i do

Last song: AJR - Burn The House Down (I'm still not fully started on my ToT reread, but wheelfic was what introduced me to this song, so I've already been getting anticipatory cravings 😆)

Favourite color: Red! Deep, saturated red my beloved

Last book read: Well, I'm currently bouncing between 'I Became A God In A Horror Game' and 'Evil As Humans' because I'm super reluctant to finish either of them and have no more of them left (they're both so good). But let me check what i last finished. OH. 'How To Feed An Abyss'! That was fun enough, nothing brain-rewiring. It was outside my usual wheelhouse, but I had a nice time, and I do love me a nonhuman protagonist.

Last movie: Transformers One! I had to see it before I went to tfcon. Guys, I'm dormant in the fandom, but I love these silly silly space robots so much. I think the bumblebee movie was probably a better movie, but this is my favorite of the transformers movies. Just aesthetically, i was eating WELL.

Last show: Show.... boy, I don't really television. A friend asked me to watch once episode of tv by Friday and I was like 'I'll try, but we both know this is Unlikely.' oh, wait, progress has been slow, but a different friend and I are working through 'Love Between Fairy and Devil', and I'm LOVING it so far!

Sweet/savory/spicy: Oh no, that's hard. I think... spicy

Relationship status:

Last thing I looked up: 'transformers one iacon gif' lmao. Earlier today I spent some time trying to look up the difference between redis and rest api interactions between software services, but I'm fighting my own deep apathy towards programming, so i forget what i learned

Current obsession: oh god. SVSSS, GHG, and EAH are all jockeying very hard for attention, and ffvii, raksura, and transformers are all making noise too. This isn't sustainable, at least not with all the work/home pressure I've been fighting, but I'm not sure what will slip

Looking forward to: I'm so close to having real hobby time back. I'm SO close. I'm rapidly losing my mind from lack of Making Things, but I am doing a really good job at work, apparently. If I can update a word doc draft, excel sheet, and make sysml progress tomorrow, then pick up fence brackets, dryer vent thing, and scope out fridge at home depot before work... That's technically a lot, but if i can do it, I'll be SET for free time tomorrow evening

[dorleco]

An Introduction to Systems Engineering

November 9, 2023

 by dorleco

with no comment

 eMOBILITY CONTROLS

Introduction

A methodical, all-encompassing approach to planning, creating, and overseeing complex systems at every stage of their existence is systems engineering. This area of study combines project management with a variety of engineering specialties to design, evaluate, and enhance systems that satisfy predetermined specifications. System engineering takes into account a system’s broader factors in addition to its technical features, such as cost, scheduling, safety, and sustainability. An overview of several core concepts in system engineering is provided here:

1. Definition of Systems:

Systems are defined as a group of interconnected parts or components that cooperate to accomplish a particular objective in the field of systems engineering. These elements may be tangible (such as engines or sensors) or intangible (such as software programs or organizational procedures).

2. Key Principles of System Engineering:

Holistic Approach: Rather than looking at individual components, systems engineers view the system as a whole, taking into account all of its pieces and how they interact.

Requirement analysis: An essential component of system engineering is precisely identifying and controlling needs. This entails comprehending and recording the goals the system must pursue as well as the limitations it must work within.

Iterative Process: To make sure the system achieves its goals, systems engineers frequently go through iterative cycles of design, analysis, and refinement.

Interdisciplinary Collaboration: To solve difficult issues and provide solutions, systems engineers collaborate with specialists from many fields.

3. Systems Engineering Life Cycle:

There is a structured life cycle for systems engineering that includes several stages, such as:

Concept Development: Outlining the system’s goals and original concept.

System Design: Creating the detailed architecture and design of the system.

Testing and system integration: Making sure that all of the system’s parts interact as intended.

Throughout the course of the system’s functioning, maintenance and operation are handled.

4. Systems engineering procedures:

To handle the complexity of system development, systems engineers adhere to procedures and techniques. Among these procedures are:

5. Prerequisites Engineering:

Compiling and overseeing system specifications.

System modeling and simulation is the process of representing and analyzing a system using modeling tools and methodologies.

6. Verification and validation:

Making sure the system satisfies its specifications and operates as intended.

Risk management is the process of locating, evaluating, and reducing systemic risks.

7. Tools and Techniques:

To model, analyze, and simulate systems, system engineers employ a variety of tools and software. These could include simulation tools, computer-aided design (CAD) software, and modeling languages like SysML (Systems Modeling Language).

8. Applications of Systems Engineering:

Information technology, energy, transportation, aerospace, defense, automotive, and healthcare are just a few of the industries in which system engineering is used. Complex systems including airplanes, satellites, medical information systems, and transportation networks are developed using it.

9. Systems Thinking:

Systems engineers use systems thinking, which is examining the system as a whole and figuring out how actions or modifications in one area of the system may affect other areas. It places a strong emphasis on realizing how interdependent the system is.

Benefits of Systems Engineering

For businesses and initiatives engaged in the planning, creation, and administration of intricate systems, systems engineering provides a multitude of advantages. These advantages result from its methodical and comprehensive approach to handling the full life cycle of a system and fixing problems. The following are a few of the main benefits of system engineering:

Holistic Approach: System engineering examines every aspect of the system, taking into account all of its constituent parts and how they work together. This method assists in solving complicated issues by taking the “big picture” into consideration.

Clear Requirement Management: System engineering places a strong emphasis on managing requirements clearly and concisely. By doing this, it is ensured that the system is built to achieve particular goals and that modifications are appropriately recorded and assessed.

Risk Management: A key component of systems engineering is the incorporation of risk management. Early risk identification, assessment, and mitigation help lower the chance of expensive problems down the road.

Optimized Design: System engineers can evaluate many design options and make well-informed judgments to maximize system performance and cost-effectiveness by utilizing modeling and simulation tools.

Multidisciplinary Cooperation: Systems engineering promotes cooperation between specialists in different fields. This encourages creative thinking and results in a more comprehensive grasp of the system.

Better Communication: Systems engineering helps stakeholders in a project communicate effectively so that everyone is aware of the project’s objectives, limitations, and status.

Enhanced Flexibility and Adaptability: Systems engineering lessens the impact of unanticipated occurrences or changing needs by enabling better management of changes and adjustments throughout a project’s life cycle.

Sustainability: Lifecycle analyses and environmental sustainability can be taken into account by systems engineers, which can help create more ecologically friendly systems and lessen their long-term effects on the environment.

Disadvantages of Systems Engineering

System engineering has a lot of benefits, but it also has drawbacks and difficulties. The following are a few possible disadvantages of systems engineering:

Complexity: It might be difficult to manage intricate systems and related procedures. Systems engineering is a complex field that can be burdensome for businesses or projects with minimal resources. It also requires a high level of knowledge.

Time-consuming: The systems engineering process can take a lot of time since it places a lot of focus on careful modeling, analysis, and documentation. Project delays may result from this, which is not acceptable in businesses with quick turnaround times.

Resource-intensive: Systems engineering implementation frequently calls for extra resources, such as specialized software, equipment, and skilled labor. It may be difficult to allocate these resources to smaller organizations or initiatives with tighter budgets.

Opposition to Change: Teams or individuals used to more conventional engineering methods may be resistant to the adoption of systems engineering techniques. It can be quite difficult to overcome resistance and bring about cultural change.

Over-Engineering: Systems engineering can occasionally result in over-engineering, which raises costs and complexity without providing equivalent advantages in an attempt to handle all potential requirements and contingencies.

Rigidity: According to some detractors, systems engineering can be unbending and inflexible, especially when handling quickly advancing technology or changing project specifications.

Complex Documentation: Placing a strong focus on documentation can occasionally result in voluminous paperwork and documentation that some team members may find onerous or superfluous.

Communication Challenges: In system engineering, effective communication amongst interdisciplinary teams is essential, but it can be difficult because different experts from different domains have different vocabularies and points of view.

Scope Creep:  Systems engineering may not always be able to completely stop scope creep, and it can occasionally be challenging to handle modifications in an efficient manner, which can result in project delays and extra expenses.

Conclusion:

In conclusion, system engineering is a valuable and indispensable discipline for tackling the complexity of modern engineering and technological challenges. It offers a structured and holistic approach to the design, development, and management of complex systems, spanning various industries and applications. While it comes with its set of challenges and potential disadvantages, the benefits it brings to the table far outweigh the drawbacks.

Systems engineering promotes a clear understanding of system requirements, effective risk management, interdisciplinary collaboration, and optimized design. These advantages lead to improved project outcomes, reduced costs, enhanced quality, and long-term viability. By addressing the entire system life cycle, from concept development to operation and maintenance, systems engineering ensures that systems are not only well-designed but also sustainable and adaptable over time.

In an era of ever-increasing complexity and interconnectivity, systems engineering is a vital tool for ensuring the successful development of systems that meet their intended objectives while considering the broader context of resources, time, and stakeholders. It enables organizations to navigate complex projects with confidence, make informed decisions, and deliver high-quality, cost-effective solutions to the benefit of society as a whole.

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A Practical Guide to SysML: The Systems Modeling Language 3rd Edition by Sanford Friedenthal, ISBN-13: 978-0128002025 [PDF eBook eTextbook] Publisher: ‎ Morgan Kaufmann; 3rd edition (November 7, 2014) Language: ‎ English 630 pages ISBN-10: ‎ 0128002026 ISBN-13: ‎ 978-0128002025 A Practical Guide to SysML, Third Edition, fully updated for SysML version 1.4, provides a comprehensive and practical guide for modeling systems with SysML. With their unique perspective as leading contributors to the language, Friedenthal, Moore, and Steiner provide a full description of the language along with a quick reference guide and practical examples to help you use SysML. The book begins with guidance on the most commonly used features to help you get started quickly. Part 1 explains the benefits of a model-based approach, providing an overview of the language and how to apply SysML to model systems. Part 2 includes a comprehensive description of SysML that provides a detailed understanding that can serve as a foundation for modeling with SysML, and as a reference for practitioners. Part 3 includes methods for applying model-based systems engineering using SysML to specify and design systems, and how these methods can help manage complexity. Part 4 deals with topics related to transitioning MBSE practice into your organization, including integration of the system model with other engineering models, and strategies for adoption of MBSE. Table of Contents: Preface Introduction 1 Systems Engineering Overview 2 Model-Based Systems Engineering 3 Getting Started with SysML 4 An Automobile Example Using the SysML Basic Feature Set II Language Description 5 SysML Language Architecture 6 Organizing the Model with Packages 7 Modeling Structure with Blocks 8 Modeling Constraints with Parametrics 9 Modeling Flow-Based Behavior with Activities 10 Modeling Message-Based Behavior with Interactions 11 Modeling Event-Based Behavior with State Machines 12 Modeling Functionality with Use Cases 13 Modeling Text-Based Requirements and their Relationship to Design 14 Modeling Cross-Cutting Relationships with Allocations 15 Customizing SysML for Specific Domains III Modeling Examples 16 Water Distiller Example Using Functional Analysis 17 Residential Security System Example Using the Object-Oriented Systems Engineering Method IV Transitioning to Model-Based Systems Engineering 18 Integrating SysML into a Systems Development Environment 19 Deploying SysML into an Organization APPENDIXES SysML Reference Guide References Sanford Friedenthal is an MBSE Consultant. He has been an advocate for model-based systems engineering and a leader of the industry team that developed SysML from its inception through its adoption by the OMG. Alan Moore is an Architecture Modeling Specialist at The MathWorks. He has extensive experience in the development of real-time and object-oriented methodologies and their application. Alan was co-chair of the OMG’s Real-time Analysis and Design Working Group and served as the language architect during the development of SysML. Rick Steiner is an independent consultant focusing on pragmatic application of systems engineering modeling techniques. He culminated his 29 year career at Raytheon as an Engineering Fellow, Raytheon Certified Architect and INCOSE Expert Systems Engineering Professional (ESEP). Mr. Steiner has been an advocate, consultant, and instructor of model driven systems development for over 20 years. He has served as chief engineer, architect, or lead system modeler for several large scale electronics programs, incorporating the practical application of the OOSEM methodology and generation of Department of Defense Architecture Framework (DoDAF) artifacts from complex system models. Mr. Steiner has been a key contributor to both the original requirements for SysML and the development of SysML specification. While his main technical contribution has been in the area of allocations, requirements, and the sample problem, Mr. Steiner has also served as co-chair of the SysML Revision Task Force (RTF). He continues to provide frequent tutorials and workshops on SysML and model driven engineering topics at INCOSE events, NDIA conferences, and other corporate engagements. What makes us different? • Instant Download • Always Competitive Pricing • 100% Privacy • FREE Sample Available • 24-7 LIVE Customer Support

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A Practical Guide to SysML: The Systems Modeling Language 3rd Edition by Sanford Friedenthal, ISBN-13: 978-0128002025 [PDF eBook eTextbook] Publisher: ‎ Morgan Kaufmann; 3rd edition (November 7, 2014) Language: ‎ English 630 pages ISBN-10: ‎ 0128002026 ISBN-13: ‎ 978-0128002025 A Practical Guide to SysML, Third Edition, fully updated for SysML version 1.4, provides a comprehensive and practical guide for modeling systems with SysML. With their unique perspective as leading contributors to the language, Friedenthal, Moore, and Steiner provide a full description of the language along with a quick reference guide and practical examples to help you use SysML. The book begins with guidance on the most commonly used features to help you get started quickly. Part 1 explains the benefits of a model-based approach, providing an overview of the language and how to apply SysML to model systems. Part 2 includes a comprehensive description of SysML that provides a detailed understanding that can serve as a foundation for modeling with SysML, and as a reference for practitioners. Part 3 includes methods for applying model-based systems engineering using SysML to specify and design systems, and how these methods can help manage complexity. Part 4 deals with topics related to transitioning MBSE practice into your organization, including integration of the system model with other engineering models, and strategies for adoption of MBSE. Table of Contents: Preface Introduction 1 Systems Engineering Overview 2 Model-Based Systems Engineering 3 Getting Started with SysML 4 An Automobile Example Using the SysML Basic Feature Set II Language Description 5 SysML Language Architecture 6 Organizing the Model with Packages 7 Modeling Structure with Blocks 8 Modeling Constraints with Parametrics 9 Modeling Flow-Based Behavior with Activities 10 Modeling Message-Based Behavior with Interactions 11 Modeling Event-Based Behavior with State Machines 12 Modeling Functionality with Use Cases 13 Modeling Text-Based Requirements and their Relationship to Design 14 Modeling Cross-Cutting Relationships with Allocations 15 Customizing SysML for Specific Domains III Modeling Examples 16 Water Distiller Example Using Functional Analysis 17 Residential Security System Example Using the Object-Oriented Systems Engineering Method IV Transitioning to Model-Based Systems Engineering 18 Integrating SysML into a Systems Development Environment 19 Deploying SysML into an Organization APPENDIXES SysML Reference Guide References Sanford Friedenthal is an MBSE Consultant. He has been an advocate for model-based systems engineering and a leader of the industry team that developed SysML from its inception through its adoption by the OMG. Alan Moore is an Architecture Modeling Specialist at The MathWorks. He has extensive experience in the development of real-time and object-oriented methodologies and their application. Alan was co-chair of the OMG’s Real-time Analysis and Design Working Group and served as the language architect during the development of SysML. Rick Steiner is an independent consultant focusing on pragmatic application of systems engineering modeling techniques. He culminated his 29 year career at Raytheon as an Engineering Fellow, Raytheon Certified Architect and INCOSE Expert Systems Engineering Professional (ESEP). Mr. Steiner has been an advocate, consultant, and instructor of model driven systems development for over 20 years. He has served as chief engineer, architect, or lead system modeler for several large scale electronics programs, incorporating the practical application of the OOSEM methodology and generation of Department of Defense Architecture Framework (DoDAF) artifacts from complex system models. Mr. Steiner has been a key contributor to both the original requirements for SysML and the development of SysML specification. While his main technical contribution has been in the area of allocations, requirements, and the sample problem, Mr. Steiner has also served as co-chair of the SysML Revision Task Force (RTF). He continues to provide frequent tutorials and workshops on SysML and model driven engineering topics at INCOSE events, NDIA conferences, and other corporate engagements. What makes us different? • Instant Download • Always Competitive Pricing • 100% Privacy • FREE Sample Available • 24-7 LIVE Customer Support

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A Practical Guide to SysML: The Systems Modeling Language 3rd Edition by Sanford Friedenthal, ISBN-13: 978-0128002025 [PDF eBook eTextbook] Publisher: ‎ Morgan Kaufmann; 3rd edition (November 7, 2014) Language: ‎ English 630 pages ISBN-10: ‎ 0128002026 ISBN-13: ‎ 978-0128002025 A Practical Guide to SysML, Third Edition, fully updated for SysML version 1.4, provides a comprehensive and practical guide for modeling systems with SysML. With their unique perspective as leading contributors to the language, Friedenthal, Moore, and Steiner provide a full description of the language along with a quick reference guide and practical examples to help you use SysML. The book begins with guidance on the most commonly used features to help you get started quickly. Part 1 explains the benefits of a model-based approach, providing an overview of the language and how to apply SysML to model systems. Part 2 includes a comprehensive description of SysML that provides a detailed understanding that can serve as a foundation for modeling with SysML, and as a reference for practitioners. Part 3 includes methods for applying model-based systems engineering using SysML to specify and design systems, and how these methods can help manage complexity. Part 4 deals with topics related to transitioning MBSE practice into your organization, including integration of the system model with other engineering models, and strategies for adoption of MBSE. Table of Contents: Preface Introduction 1 Systems Engineering Overview 2 Model-Based Systems Engineering 3 Getting Started with SysML 4 An Automobile Example Using the SysML Basic Feature Set II Language Description 5 SysML Language Architecture 6 Organizing the Model with Packages 7 Modeling Structure with Blocks 8 Modeling Constraints with Parametrics 9 Modeling Flow-Based Behavior with Activities 10 Modeling Message-Based Behavior with Interactions 11 Modeling Event-Based Behavior with State Machines 12 Modeling Functionality with Use Cases 13 Modeling Text-Based Requirements and their Relationship to Design 14 Modeling Cross-Cutting Relationships with Allocations 15 Customizing SysML for Specific Domains III Modeling Examples 16 Water Distiller Example Using Functional Analysis 17 Residential Security System Example Using the Object-Oriented Systems Engineering Method IV Transitioning to Model-Based Systems Engineering 18 Integrating SysML into a Systems Development Environment 19 Deploying SysML into an Organization APPENDIXES SysML Reference Guide References Sanford Friedenthal is an MBSE Consultant. He has been an advocate for model-based systems engineering and a leader of the industry team that developed SysML from its inception through its adoption by the OMG. Alan Moore is an Architecture Modeling Specialist at The MathWorks. He has extensive experience in the development of real-time and object-oriented methodologies and their application. Alan was co-chair of the OMG’s Real-time Analysis and Design Working Group and served as the language architect during the development of SysML. Rick Steiner is an independent consultant focusing on pragmatic application of systems engineering modeling techniques. He culminated his 29 year career at Raytheon as an Engineering Fellow, Raytheon Certified Architect and INCOSE Expert Systems Engineering Professional (ESEP). Mr. Steiner has been an advocate, consultant, and instructor of model driven systems development for over 20 years. He has served as chief engineer, architect, or lead system modeler for several large scale electronics programs, incorporating the practical application of the OOSEM methodology and generation of Department of Defense Architecture Framework (DoDAF) artifacts from complex system models. Mr. Steiner has been a key contributor to both the original requirements for SysML and the development of SysML specification. While his main technical contribution has been in the area of allocations, requirements, and the sample problem, Mr. Steiner has also served as co-chair of the SysML Revision Task Force (RTF). He continues to provide frequent tutorials and workshops on SysML and model driven engineering topics at INCOSE events, NDIA conferences, and other corporate engagements. What makes us different? • Instant Download • Always Competitive Pricing • 100% Privacy • FREE Sample Available • 24-7 LIVE Customer Support