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| digital engineering vs mbse: Systems Engineering for the Digital Age Dinesh Verma, 2023-10-24 Systems Engineering for the Digital Age Comprehensive resource presenting methods, processes, and tools relating to the digital and model-based transformation from both technical and management views Systems Engineering for the Digital Age: Practitioner Perspectives covers methods and tools that are made possible by the latest developments in computational modeling, descriptive modeling languages, semantic web technologies, and describes how they can be integrated into existing systems engineering practice, how best to manage their use, and how to help train and educate systems engineers of today and the future. This book explains how digital models can be leveraged for enhancing engineering trades, systems risk and maturity, and the design of safe, secure, and resilient systems, providing an update on the methods, processes, and tools to synthesize, analyze, and make decisions in management, mission engineering, and system of systems. Composed of nine chapters, the book covers digital and model-based methods, digital engineering, agile systems engineering, improving system risk, and more, representing the latest insights from research in topics related to systems engineering for complicated and complex systems and system-of-systems. Based on validated research conducted via the Systems Engineering Research Center (SERC), this book provides the reader a set of pragmatic concepts, methods, models, methodologies, and tools to aid the development of digital engineering capability within their organization. Systems Engineering for the Digital Age: Practitioner Perspectives includes information on: Fundamentals of digital engineering, graphical concept of operations, and mission and systems engineering methods Transforming systems engineering through integrating M&S and digital thread, and interactive model centric systems engineering The OODA loop of value creation, digital engineering measures, and model and data verification and validation Digital engineering testbed, transformation, and implications on decision making processes, and architecting tradespace analysis in a digital engineering environment Expedited systems engineering for rapid capability and learning, and agile systems engineering framework Based on results and insights from a research center and providing highly comprehensive coverage of the subject, Systems Engineering for the Digital Age: Practitioner Perspectives is written specifically for practicing engineers, program managers, and enterprise leadership, along with graduate students in related programs of study. |
| digital engineering vs mbse: Handbook of Model-Based Systems Engineering Azad M. Madni, Norman Augustine, Michael Sievers, 2023-07-25 This handbook brings together diverse domains and technical competences of Model Based Systems Engineering (MBSE) into a single, comprehensive publication. It is intended for researchers, practitioners, and students/educators who require a wide-ranging and authoritative reference on MBSE with a multidisciplinary, global perspective. It is also meant for those who want to develop a sound understanding of the practice of systems engineering and MBSE, and/or who wish to teach both introductory and advanced graduate courses in systems engineering. It is specifically focused on individuals who want to understand what MBSE is, the deficiencies in current practice that MBSE overcomes, where and how it has been successfully applied, its benefits and payoffs, and how it is being deployed in different industries and across multiple applications. MBSE engineering practitioners and educators with expertise in different domains have contributed chapters that address various uses of MBSE and related technologies such as simulation and digital twin in the systems lifecycle. The introductory chapter reviews the current state of practice, discusses the genesis of MBSE and makes the business case. Subsequent chapters present the role of ontologies and meta-models in capturing system interdependencies, reasoning about system behavior with design and operational constraints; the use of formal modeling in system (model) verification and validation; ontology-enabled integration of systems and system-of-systems; digital twin-enabled model-based testing; system model design synthesis; model-based tradespace exploration; design for reuse; human-system integration; and role of simulation and Internet-of-Things (IoT) within MBSE. |
| digital engineering vs mbse: Model-Based System Architecture Tim Weilkiens, Jesko G. Lamm, Stephan Roth, Markus Walker, 2022-04-05 MODEL-BASED SYSTEM ARCHITECTURE AN UP-TO-DATE EXPLORATION OF THE NEWEST STANDARDS AND BEST PRACTICES IN SYSTEM ARCHITECTING In the newly revised Second Edition of Model-Based System Architecture, a team of expert engineers deliver a detailed and authoritative review of the practice of system architecture in organizations that use models to support the systems engineering process. In the book, readers will find introductions to the fundamentals of architecting systems and using models to assist the architecting process. The latest edition offers refreshed content based on ISO 15288:2015 and a renewed focus on the role of the system architect. New chapters on systems-of-systems, and cyber-physical systems, and system architect tools offer guidance to practicing professionals on how to apply the presented concepts in the real-world. In addition to the latest definitions of the architecture governance and evaluation processes described in ISO 42020 and 42030, the book provides: A thorough introduction to the value of systems architecting, definitions of system architecture, and model-based system architecture Comprehensive explorations of model governance, architecture descriptions, patterns, and principles, and the roles of typical architecture stakeholders Practical discussions of Agile approaches to systems architecture, the FAS Method, and architecture frameworks In-depth examinations of systems architecting work and necessary soft skills for systems architects Modeling of system architectures with SysML including a brief overview of SysML v1 and an outlook to SysML v2 Perfect for system architects and system engineers, Model-Based System Architecture will also earn a place in the libraries of students and researchers studying functional architectures. |
| digital engineering vs mbse: Recent Trends and Advances in Model Based Systems Engineering Azad M. Madni, Barry Boehm, Daniel Erwin, Mahta Moghaddam, Michael Sievers, Marilee Wheaton, 2022-03-24 This volume comprises papers from the 18th Conference on Systems Engineering Research (CSER). The theme of this volume, “Recent Trends and Advances in Model-Based Systems Engineering,” reflects the fact that systems engineering is undergoing a transformation motivated by mission and system complexity and enabled by technological advances such as model-based systems engineering, digital engineering, and the convergence of systems engineering with other disciplines. This conference is focused on exploring recent trends and advances in model-based systems engineering (MBSE) and the synergy of MBSE with simulation technology and digital engineering. Contributors have submitted papers on MBSE methods, modeling approaches, integration of digital engineering with MBSE, standards, modeling languages, ontologies and metamodels, and economics analysis of MBSE to respond to the challenges posed by 21st century systems. What distinguishes this volume are the latest advances in MBSE research, the convergence of MBSE with digital engineering, and recent advances in applied research in MBSE, including growing convergence with systems science and decision science. This volume is appropriate as a reference text in graduate engineering courses in Model-Based Systems Engineering. |
| digital engineering vs mbse: The Proceedings of the 2023 Conference on Systems Engineering Research Dinesh Verma, |
| digital engineering vs mbse: Systems: from science to practice Gary S. Metcalf, Mary C. Edson, Gerhard Chroust, 2019-04-30 Conversation were introduced by Bela H. Banathy at around 1980 as an alternative to the classical conferences. They reflect the insight that the greatest benefit for participants of a meeting were due to the discussions and conversations between participants and not so much as a result of the formal presentations of papers. The participants of Conversations follow the concepts and design of Bela Banathy. They discuss face-to-face (without formal presentation) in a self-guided way topics of scientific and social importance. The IFSR Conversation 2018 was held in St. Magdalena, Linz Austria, April 8 to 13, 2018. The overarching theme ('Systems: from science to practice') was the interaction between science and practice in the field of systems sciences, in order to enhance the understanding the role of systems sciences for humans and society. 26 systemists from ten countries formed four teams with the topics: 1. Systems Practice 2. What is Systems Science? 3. Active and Healthy Aging 4. Data Driven Systems Engineering This proceedings volume contains the reports of the 4 teams together with 3 personals views on Conversations and a historical overview of the evolution and growths of Conversations in general from 1980 to 2018. |
| digital engineering vs mbse: INCOSE Systems Engineering Handbook INCOSE, 2023-06-08 SYSTEMS ENGINEERING HANDBOOK A comprehensive reference on the discipline and practice of systems engineering Systems engineering practitioners provide a wide range of vital functions, conceiving, developing, and supporting complex engineered systems with many interacting elements. The International Council on Systems Engineering (INCOSE) Systems Engineering Handbook describes the state-of-the-good-practice of systems engineering. The result is a comprehensive guide to systems engineering activities across any number of possible projects. From automotive to defense to healthcare to infrastructure, systems engineering practitioners are at the heart of any project built on complex systems. INCOSE Systems Engineering Handbook readers will find: Elaboration on the key systems life cycle processes described in ISO/IEC/IEEE 15288:2023; Chapters covering key systems engineering concepts, system life cycle processes and methods, tailoring and application considerations, systems engineering in practice, and more; and Appendices, including an N2 diagram of the systems engineering processes and a detailed topical index. The INCOSE Systems Engineering Handbook is a vital reference for systems engineering practitioners and engineers in other disciplines looking to perform or understand the discipline of systems engineering. |
| digital engineering vs mbse: Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations Osiris Canciglieri Junior, Frédéric Noël, Louis Rivest, Abdelaziz Bouras, 2022-02-08 The two-volume set IFIP AICT 639 and 640 constitutes the refereed post-conference proceedings of the 18th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2021, held in Curitiba, Brazil, during July 11-14, 2021. The conference was held virtually due to the COVID-19 crisis. The 107 revised full papers presented in these proceedings were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: Volume I: Sustainability, sustainable development and circular economy; sustainability and information technologies and services; green and blue technologies; AI and blockchain integration with enterprise applications; PLM maturity, PLM implementation and adoption within industry 4.0; and industry 4.0 and emerging technologies: Volume II: Design, education and management; lean, design and innovation technologies; information technology models and design; and models, manufacturing and information technologies and services. |
| digital engineering vs mbse: Emerging Trends in Systems Engineering Leadership Alice F. Squires, Marilee J. Wheaton, Heather J. Feli, 2022-11-06 This book celebrates the efforts of women in the international systems engineering community. While there are dozens of books that tackle the topic of systems engineering and thousands of books that address leadership, this book is unique. Emerging Trends in Systems Engineering Leadership: Practical Research from Women Leaders presents personal, well-researched, hands-on perspectives of emerging trends in systems engineering leadership from industry, government, and academia, covering timely topics applicable across many domains – all under one cover. This book presents material for engineers, scientists, technologists, and others to help them tackle challenges in their everyday work dealing with complex socio-technical systems. The book provides guidance for leaders on shoring up essential (soft) skills to address the increasing demand for professional competencies; addresses diversity, equity, inclusion, and empowering women in the workforce; discusses broader facets of systems engineering leadership including systems thinking, ethics and utilitarianism; and investigates the impact of emerging technological change on systems resilience and the digital enterprise. This book provides a multi-perspective approach for leaders to navigate a changing world and develop and deliver optimal system solutions to global societal challenges that meet human needs. To this end, the authors extend beyond the solid technical base to encompass the human aspect of system behavior. This book is written by twenty-six female authors (three of whom also serve as the editors) from around the world at varying career stages who share their research, achievements, perspectives, and successes in emerging areas of systems engineering leadership. Testimonials: “As the systems that modern society depends on get more complicated and complex, we are in the midst of a renaissance with regard to research relating to systems engineering and science. A vast majority of this research is focused on the development of a modern toolkit for systems engineers today and into the future. This takes the form of new and improved methods, models, methodology, processes and tools. This research is critical but likely insufficient without a focus on the most valuable resource with regard to systems engineering within any organization – the human resource. Therein lies the focus of this textbook. It addresses systems engineering leadership from a variety of perspectives, while also addressing broad aspects relating to mentoring and the necessary evolving competencies that we need to address in today’s workforce. This emphasis makes this book unique. The icing on the cake is that all the chapters in this textbook are written by contemporary women leaders – this provides a necessary and unique perspective on the topic of leadership – that is long overdue! I highly recommend this textbook to all my colleagues in academia, industry, and government.” Dinesh Verma, Ph.D.Professor, Systems Engineering, School of Systems and EnterprisesExecutive Director, Systems Engineering Research Center (SERC)Stevens Institute of Technology, Hoboken, NJ 07030 “The past decade has seen a dramatic increase in the number of women who are formally recognized in systems engineering technical, management and leadership positions in all sectors. With industry, academia, professional systems engineering societies and publishers enabling and illuminating the growing and substantial contributions of women in engineering, women have unprecedented opportunities today to contribute to systems engineering in both leadership and management positions. This volume, a compendium of chapters written by enterprising international women leaders at various stages in their career, addresses diverse topics such as leadership, management, empowerment, equity, diversity, inclusion, and mentoring. It is a valuable resource for engineering management courses in academia, systems engineering leadership training in industry, and Diversity, Equity, and Inclusion program development by Human Resource departments in industry, academia, and government.” Azad M. Madni, Ph.D., NAENorthrop Grumman Foundation Fred O’Green Chair in Engineering Professor of Astronautics and Aerospace and Mechanical EngineeringExecutive Director, Systems Architecting and Engineering ProgramUniversity of Southern California, Los Angeles, CA 90089 |
| digital engineering vs mbse: Modeling And Simulation Based Systems Engineering: Theory And Practice Lin Zhang, Chun Zhao, 2023-02-02 Modeling and simulation (M&S) based systems engineering (MSBSE) is the extension of MBSE, which enhances the value of MBSE and the ability of digitally evaluating and optimizing the whole system through comprehensive applications of M&S technologies. This book puts together the recent research in MSBSE, and hopefully this will provide the researchers and engineers with reference cases in M&S technologies to support the R&D of complex products and systems. |
| digital engineering vs mbse: Tomorrow's Systems Engineering Howard Eisner, 2022-10-12 This book looks at systems engineering now and comments on the future. It notes the signs of deepening our understanding of the field which includes, digital engineering, interactive model-based systems, decision support frameworks, and points to a grand unified theory. The book also suggests how the systems engineer can be a better designer and architect. Offering commentaries regarding how the field of systems engineering might evolve over the next couple of decades, Tomorrow’s Systems Engineering: Commentaries on the Profession looks at the potential opportunities that might lie ahead rather than making predictions for the future of the field. The book allows the reader to prepare for the future in terms of technical interest as well as competitiveness and suggests opportunities that could be significant and useful for planning actions in the careers of future systems engineers. Discussions of improvements in how we develop and use software that can help to facilitate and protect overall IT capability within the system design and system architecture are also included. This book is for systems engineers and software engineers who wish to think now about the directions the field might take in the next two decades. |
| digital engineering vs mbse: Model Validation and Uncertainty Quantification, Volume 3 Roland Platz, Garrison Flynn, Kyle Neal, Scott Ouellette, 2023-10-06 Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the third volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on: Introduction of Uncertainty Quantification Uncertainty Quantification in Dynamics Model Form Uncertainty and Selection incl. Round Robin Challenge Sensor and Information Fusion Virtual Sensing, Certification, and Real-Time Monitoring Surrogate Modeling |
| digital engineering vs mbse: Virtual Product Creation in Industry Rainer Stark, 2022-01-01 Today, digital technologies represent an absolute must when it comes to creating new products and factories. However, day-to-day product development and manufacturing engineering operations have still only unlocked roughly fifty percent of the digital potential. The question is why? This book provides compelling answers and remedies to that question. Its goal is to identify the main strengths and weaknesses of today’s set-up for digital engineering working solutions, and to outline important trends and developments for the future. The book concentrates on explaining the critical basics of the individual technologies, before going into deeper analysis of the virtual solution interdependencies and guidelines on how to best align them for productive deployment in industrial and collaborative networks. Moreover, it addresses the changes needed in both, technical and management skills, in order to avoid fundamental breakdowns in running information technologies for virtual product creation in the future. |
| digital engineering vs mbse: Practical Model-Based Systems Engineering Jose L. Fernandez, Carlos Hernandez, 2019-07-31 This comprehensive resource provides systems engineers and practitioners with the analytic, design and modeling tools of the Model-Based Systems Engineering (MBSE) methodology of Integrated Systems Engineering (ISE) and Pipelines of Processes in Object Oriented Architectures (PPOOA) methodology. This methodology integrates model based systems and software engineering approaches for the development of complex products, including aerospace, robotics and energy domains applications. Readers learn how to synthesize physical architectures using design heuristics and trade-off analysis. The book provides information about how to identify, classify and specify the system requirements of a new product or service. Using Systems Modeling Language (SysML) constructs, readers will be able to apply ISE & PPOOA methodology in the engineering activities of their own systems. |
| digital engineering vs mbse: SysML for Systems Engineering Jon Holt, Simon Perry, 2018-11-16 Systems Modelling Language (SysML) is a tailored version of the unified modelling language (UML) that meets the needs of today's systems engineering professionals and engineers. It supports the specification, analysis, design, verification and validation of a broad range of systems and systems-of-systems, including hardware, software, information, personnel, procedures, and facilities in a graphical notation. |
| digital engineering vs mbse: Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies Frédéric Noël, Felix Nyffenegger, Louis Rivest, Abdelaziz Bouras, 2023-01-31 This book constitutes the refereed proceedings of the 19th IFIP WG 5.1 International Conference, PLM 2022, Grenoble, France, July 10–13, 2022, Revised Selected Papers. The 67 full papers included in this book were carefully reviewed and selected from 94 submissions. They were organized in topical sections as follows: Organisation: Knowledge Management, Business Models, Sustainability, End-to-End PLM, Modelling tools: Model-Based Systems Engineering, Geometric modelling, Maturity models, Digital Chain Process, Transversal Tools: Artificial Intelligence, Advanced Visualization and Interaction, Machine learning, Product development: Design Methods, Building Design, Smart Products, New Product Development, Manufacturing: Sustainable Manufacturing, Lean Manufacturing, Models for Manufacturing. |
| digital engineering vs mbse: INCOSE Systems Engineering Handbook INCOSE, 2015-06-12 A detailed and thorough reference on the discipline and practice of systems engineering The objective of the International Council on Systems Engineering (INCOSE) Systems Engineering Handbook is to describe key process activities performed by systems engineers and other engineering professionals throughout the life cycle of a system. The book covers a wide range of fundamental system concepts that broaden the thinking of the systems engineering practitioner, such as system thinking, system science, life cycle management, specialty engineering, system of systems, and agile and iterative methods. This book also defines the discipline and practice of systems engineering for students and practicing professionals alike, providing an authoritative reference that is acknowledged worldwide. The latest edition of the INCOSE Systems Engineering Handbook: Is consistent with ISO/IEC/IEEE 15288:2015 Systems and software engineering—System life cycle processes and the Guide to the Systems Engineering Body of Knowledge (SEBoK) Has been updated to include the latest concepts of the INCOSE working groups Is the body of knowledge for the INCOSE Certification Process This book is ideal for any engineering professional who has an interest in or needs to apply systems engineering practices. This includes the experienced systems engineer who needs a convenient reference, a product engineer or engineer in another discipline who needs to perform systems engineering, a new systems engineer, or anyone interested in learning more about systems engineering. |
| digital engineering vs mbse: Systems Engineering Principles and Practice Alexander Kossiakoff, Steven M. Biemer, Samuel J. Seymour, David A. Flanigan, 2020-06-11 A comprehensive and interdisciplinary guide to systems engineering Systems Engineering: Principles and Practice, 3rd Edition is the leading interdisciplinary reference for systems engineers. The up-to-date third edition provides readers with discussions of model-based systems engineering, requirements analysis, engineering design, and software design. Freshly updated governmental and commercial standards, architectures, and processes are covered in-depth. The book includes newly updated topics on: Risk Prototyping Modeling and simulation Software/computer systems engineering Examples and exercises appear throughout the text, allowing the reader to gauge their level of retention and learning. Systems Engineering: Principles and Practice was and remains the standard textbook used worldwide for the study of traditional systems engineering. The material is organized in a manner that allows for quick absorption of industry best practices and methods. Systems Engineering Principles and Practice continues to be a national standard textbook for the study of traditional systems engineering for advanced undergraduate and graduate students. It addresses the need for an introductory overview, first-text for the development and acquisition of complex technical systems. The material is organized in a way that teaches the reader how to think like a systems engineer and carry out best practices in the field. |
| digital engineering vs mbse: SYSMOD - The Systems Modeling Toolbox - Pragmatic MBSE with SysML Tim Weilkiens, 2016 SYSMOD is an MBSE toolbox for pragmatic modeling of systems. It is well-suited to be used with SysML. The book provides a set of methods with roles and outputs. Concrete guidances and examples show how to apply the methods with SysML. * Requirements modeling * System Context * Use Cases * Functional, Physical, Logical and Product Architectures * Guidances how to create a SysML model * Full-fledged SysML example * Complete definition of a profile for SYSMOD This book is also available as an eBook at leanpub.com/sysmod. |
| digital engineering vs mbse: Systems Engineering for Automotive Powertrain Development Hannes Hick, Klaus Küpper, Helfried Sorger, 2021-02-25 For the last century, the automotive industry has been dominated by internal combustion engines. Their flexibility of application, driving range, performance and sporty characteristics has resulted in several generations of this technology and has formed generations of engineers. But that is not the end of the story. Stricter legislation and increased environmental awareness have resulted in the development of new powertrain technologies in addition and parallel to the highly optimized internal combustion engine. Hybrid powertrains systems, pure battery electric systems and fuel cell systems, in conjunction with a diverse range of applications, have increased the spectrum of powertrain technologies. Furthermore, automated driving together with intelligent and highly connected systems are changing the way to get from A to B. Not only is the interaction of all these new technologies challenging, but also several different disciplines have to collaborate intensively in order for new powertrain systems to be successfully developed. These new technologies and the resulting challenges lead to an increase in system complexity. Approaches such as systems engineering are necessary to manage this complexity. To show how systems engineering manages the increasing complexity of modern powertrain systems, by providing processes, methods, organizational aspects and tools, this book has been structured into five parts. Starting with Challenges for Powertrain Development, which describes automotive-related challenges at different levels of the system hierarchy and from different point of views. The book then continues with the core part, Systems Engineering, in which all the basics of systems engineering, model-based systems engineering, and their related processes, methods, tools, and organizational matters are described. A special focus is placed on important standards and the human factor. The third part, Automotive Powertrain Systems Engineering Approach, puts the fundamentals of systems engineering into practice by adding the automotive context. This part focuses on system development and also considers the interactions to hardware and software development. Several approaches and methods are presented based on systems engineering philosophy. Part four, Powertrain Development Case Studies, adds the practical point of view by providing a range of case studies on powertrain system level and on powertrain element level and discusses the development of hybrid powertrain, internal combustion engines, e-drives, transmissions, batteries and fuel cell systems. Two case studies on a vehicle level are also presented. The final part, Outlook, considers the development of systems engineering itself with particular focus on information communication technologies. Even though this book covers systems engineering from an automotive perspective, many of the challenges, fundamental principles, conclusions and outlooks can be applied to other domains too. Therefore, this book is not only relevant for automotive engineers and students, but also for specialists in scientific and industrial positions in other domains and anyone who has to cope with the challenge of successfully developing complex systems with a large number of collaborating disciplines. |
| digital engineering vs mbse: Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation Christophe Danjou, |
| digital engineering vs mbse: The Digital Twin Noel Crespi, Adam T. Drobot, Roberto Minerva, 2023-06-02 The Digital Twin book is about harnessing the power of technology, business practices, and the digital infrastructure to make revolutionary improvements for the benefit of society. Ninety experts from around the world contributed to summarize four decades of digital advances and successes, and to define the Digital Twin’s potential for the decades ahead. The book describes how Digital Twins will play a key role in specific applications and across important sectors of the global economy, making it a must-read for executives, policymakers, technical leaders, researchers, and students alike. The book consists of thirty-eight chapters that cover Digital Twin concepts, supporting technologies, practices, and specific implementation strategies for various production and service sectors. Digital Twins are about creating faster, less expensive, and error-free manufacturing, products, processes, and services. This includes engineering of systems for energy, communications, construction, transportation, and food processing. It also covers solutions for making human existence better and more enjoyable through the life sciences, smart cities, and artistic creations. The Digital Twin’s functionality addresses the entire lifecycle of products and services. Importantly, the book describes the journey required for businesses and public organizations to embrace Digital Twins as part of their tool kit. The Digital Twin is the ideal starting point for teaching and research in all application domains. |
| digital engineering vs mbse: Model-based System and Architecture Engineering with the Arcadia Method Jean-Luc Voirin, 2017-11-22 Arcadia is a system engineering method based on the use of models, with a focus on the collaborative definition, evaluation and exploitation of its architecture. This book describes the fundamentals of the method and its contribution to engineering issues such as requirements management, product line, system supervision, and integration, verification and validation (IVV). It provides a reference for the modeling language defined by Arcadia. The author discusses the range of applications, from the assessment of different architectures and their suitability, to the collaboration between system engineering, specialties such as safety or security, subsystems engineering teams, software and hardware. This is illustrated by several examples of representative models which constitute a common thread. - Offers a comprehensive examination of systems engineering, including the use of models to support it - Not only yet another book on modeling, but rather a journey in systems engineering, enlightening the use of models to support it. - Focuses on solitary modeling tasks while also covering prime collaborations between engineering stakeholders - Examines modeling techniques to capture and share architecture and to early verify it against need and non-functional constraints - Addresses subjects not usually covered by model-based system engineering (MBSE) methods, such as co-engineering with specialties, system/sub-system co-engineering, integration verification and validation - Features a powerful, dedicated tool (Capella) - Covers a range of topics, including an introduction to system engineering issues, an introduction to MBSE, a presentation of the method for beginners and a handy reference manual for advanced users |
| digital engineering vs mbse: Handbook of Digital Twins Zhihan Lyu, 2024-05-29 Over the last two decades, Digital Twins (DTs) have become the intelligent representation of future development in industrial production and daily life. Consisting of over 50 chapters by more than 100 contributors, this comprehensive handbook explains the concept, architecture, design specification and application scenarios of DTs. As a virtual model of a process, product or service to pair the virtual and physical worlds, DTs allow data analysis and system monitoring by using simulations. The fast-growing technology has been widely studied and developed in recent years. Featured with centralization, integrity and dynamics, it is cost-effective to drive innovation and performance. Many fields saw the adaptation and implementation across industrial production, healthcare, smart city, transportation and logistics. World-famous enterprises such as Siemens, Tesla, ANSYS and General Electric have built smart factories and pioneered digital production, heading towards Industry 4.0. This book aims to provide an in-depth understanding and reference of DTs to technical personnel in the field, students and scholars of related majors, and general readers interested in intelligent industrial manufacturing. |
| digital engineering vs mbse: Digital Learning and Teaching in Chemistry Yehudit Dori, Courtney Ngai, Gabriela Szteinberg, 2023-07-12 Education is always evolving, and most recently has shifted to increased online or remote learning. Digital Learning and Teaching in Chemistry compiles the established and emerging trends in this field, specifically within the context of learning and teaching in chemistry. This book shares insights about five major themes: best practices for teaching and learning digitally, digital learning platforms, virtual visualisation and laboratory to promote learning in science, digital assessment, and building communities of learners and educators. The authors are chemistry instructors and researchers from nine countries, contributing an international perspective on digital learning and teaching in chemistry. While the chapters in this book span a wide variety of topics, as a whole, they focus on using technology and digital platforms as a method for supporting inclusive and meaningful learning. The best practices and recommendations shared by the authors are highly relevant for modern chemistry education, as teaching and learning through digital methods is likely to persist. Furthermore, teaching chemistry digitally has the potential to bring greater equity to the field of chemistry education in terms of who has access to quality learning, and this book will contribute to that goal. This book will be essential reading for those working in chemical education and teaching. Yehudit Judy Dori is internationally recognised, formerly Dean of the Faculty of Education of Science and Technology at the Technion Israel Institute of Technology and won the 2020 NARST Distinguished Contributions to Science Education through Research Award–DCRA for her exceptional research contributions. Courtney Ngai and Gabriela Szteinberg are passionate researchers and practitioners in the education field. Courtney Ngai is the Associate Director of the Office of Undergraduate Research and Artistry at Colorado State University. Gabriela Szteinberg serves as Assistant Dean and Academic Coordinator for the College of Arts and Sciences at Washington University in St. Louis. |
| digital engineering vs mbse: Agile Model-Based Systems Engineering Cookbook Dr. Bruce Powel Douglass, Dr. Christian von Holst, 2022-12-30 Get up to date with the latest recipes for applying agile methodologies and techniques in model-based systems engineering (MBSE) and manage the growing complexity of systems in your organization with ease. Purchase of the print or Kindle book includes a free eBook in PDF format. Key FeaturesUse this updated edition to learn how Agile and MBSE work iteratively and overcome system complexityDevelop key systems engineering products and achieve enterprise objectives with step-by-step recipesBuild efficient system engineering models using tried and trusted best practicesBook Description Agile MBSE can help organizations manage change while ensuring system correctness and meeting customers' needs. But deployment challenges have changed since our first edition. The Agile Model-Based Systems Engineering Cookbook's second edition focuses on workflows – or recipes – that will help MBSE practitioners and team leaders address practical situations that are part of deploying MBSE as part of an agile development process across the enterprise. In this 2nd edition, the Cameo MagicDraw Systems Modeler tool – the most popular tool for MBSE – is used in examples (models are downloadable by readers). Written by a world-renowned expert in MBSE, this book will take you through systems engineering workflows in the Cameo Systems Modeler SysML modeling tool and show you how they can be used with an agile and model-based approach. You'll start with the key concepts of agile methods for systems engineering. Next, each recipe will take you through initiating a project, outlining stakeholder needs, defining and analyzing system requirements, specifying system architecture, performing model-based engineering trade studies, all the way to handling systems specifications off to downstream engineering. By the end of this MBSE book, you'll learn how to implement systems engineering workflows and create systems engineering models. What you will learnLearn how to apply modelling to create and manage important engineering dataApply agile methods to develop systems engineering specificationsCommunicate decisions with downstream subsystem implementation teamsCoordinate with engineers from other disciplinesApply MBSE practices to problems within simple systems or large systemsEnsure accurate systems models via tests, simulation, and verificationWho this book is for If you are a systems engineer who wants to pursue model-based systems engineering in an agile setting, this book will show you how you can do that without breaking a sweat. Fundamental knowledge of SysML is necessary; the book will teach you the rest. |
| digital engineering vs mbse: Mechatronic Futures Peter Hehenberger, David Bradley, 2016-06-10 Offering a comprehensive overview of the challenges, risks and options facing the future of mechatronics, this book provides insights into how these issues are currently assessed and managed. Building on the previously published book ‘Mechatronics in Action,’ it identifies and discusses the key issues likely to impact on future mechatronic systems. It supports mechatronics practitioners in identifying key areas in design, modeling and technology and places these in the wider context of concepts such as cyber-physical systems and the Internet of Things. For educators it considers the potential effects of developments in these areas on mechatronic course design, and ways of integrating these. Written by experts in the field, it explores topics including systems integration, design, modeling, privacy, ethics and future application domains. Highlighting novel innovation directions, it is intended for academics, engineers and students working in the field of mechatronics, particularly those developing new concepts, methods and ideas. |
| digital engineering vs mbse: Handbook of Smart Materials, Technologies, and Devices Chaudhery Mustansar Hussain, Paolo Di Sia, 2022-11-09 This handbook brings together technical expertise, conceptual background, applications, and societal aspects of Industry 4.0: the evolution of automation and data exchange in fabrication technologies, materials processing, and device manufacturing at both experimental and theoretical model scales. The book assembles all the aspects of Industry 4.0, starting from the emergence of the concept to the consequences of its progression. Drawing on expert contributors from around the world, the volume details the technologies that sparked the fourth revolution and illustrates their characteristics, potential, and methods of use in the industrial and societal domains. In addition, important topics such as ethics, privacy and security are considered in a reality where all data is shared and saved remotely. The collection of contribution serve a very broad audience working in the fields of science and engineering, chemical engineering, materials science, nanotechnology, energy, environment, green chemistry, sustainability, electrical and electronic engineering, solid-state physics, surface science, aerosol technology, chemistry, colloid science, device engineering, and computer technology. This handbook ideal reference libraries in universities and industrial institutions, government and independent institutes, individual research groups and scientists. |
| digital engineering vs mbse: A Primer for Model-Based Systems Engineering David Long, Zane Scott, 2012-03-09 This primer addresses the basic concepts of model-based systems engineering. It covers the Model, Language, Behavior, Process, Architecture, and Verification and Validation. It is a call to consider the foundational principles behind those concepts. It is not designed to present novel insights into MBSE so much as to provide a guided tour of the touchstones of systems design. It is a guide to the new MBSE acolyte and a reminder to the experienced practitioner. It is our hope that you find this primer valuable. We welcome your comments and suggestions about improving it. Much of what we have learned about how it should be organized and presented has come from thoughtful contributions from the readers of the 1st edition. |
| digital engineering vs mbse: Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure Ibrahim Yitmen, 2023-07-17 This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing. |
| digital engineering vs mbse: System Lifecycle Management Martin Eigner, 2021-08-09 Years of experience in the area of Product Lifecycle Management (PLM) in industry, research and education form the basis for this overview. The author covers the development from PDM via PLM to SysLM (System Lifecycle Management) in the form commonly used today, which are necessary prerequisites for the sustainable development and implementation of IoT/IoS, Industry 4.0 and Engineering 4.0 concepts. The building blocks and properties of future-proof systems for the successful implementation of the concepts of Engineering 4.0 are thereby dedicated to holistic considerations, which also inform in detail. SysLM functions and processes in mechatronic development and design as well as across the entire product lifecycle - from requirements management to the Digital Twin - are covered as examples. SysLM trends such as low code development, cloud, disruptive business models, and bimodality provide an outlook on future developments. The author dedicates the treatment of the agile SysLM introduction to the implementation in the enterprise. The basics are deepened with examples of a concrete SysLM system. |
| digital engineering vs mbse: Requirements Engineering: Laying a Firm Foundation James A. Crowder, Curtis W. Hoff, 2022-01-03 This textbook lays the foundations for System-of-Systems Requirements Engineering and Requirements Management practices, principles, technique, and processes. It provides a comprehensive treatment of requirements engineering, an integral part of Multidisciplinary Systems Engineering. The book takes the student/reader though the entire process of documenting, analyzing, tracing, prioritizing, and managing requirements, and then goes on the describe controlling and communicating requirement change throughout the system development lifecycle. The authors discuss the role of requirements management in support of other requirements engineering processes; describe the principal requirements engineering activities and their relationships; introduces techniques for requirements elicitation and analysis and describes requirements validation and the role of requirements reviews; and discusses the role of requirements management in support of other requirements engineering processes. A full suite of classroom material is provided including exercises, assignments, and PowerPoint slides. |
| digital engineering vs mbse: The Proceedings of the 2024 Conference on Systems Engineering Research Alejandro Salado, |
| digital engineering vs mbse: Aerospace Science and Engineering Sara Bagassi, Dario Modenini, Marco Petrolo, 2023-10-01 The papers of this conference focus on the following topics: dynamics and control, navigation, aeroacoustics, fluid dynamics, human-machine interaction, structures, maintenance and operations, sustainability of aeronautics and space, space economy, propulsion, additive manufacturing, sensors, aerospace systems, aeroelasticity, artificial intelligence, and UAV (unmanned aerial vehicle). Keywords: Autonomous Navigation, Visual Navigation, Space Mission, Radar Detection. Aeroacoustics, Plasma Formation, Digital Technologies, Heat Transfer, Vibration Analysis, Future Passenger Aircraft, Acoustic Metamaterial Design, Highly Energetic Materials, Bistatic Radar, Helicopter Tracking, Supersonic Parachute, Dynamical Modeling, Composite Beams, Additive Manufacturing, BCC Cell Characterization, Interplanetary Trajectory Design, Thermoelastic Properties of Composites, Offner Spectrometer, Nanosatellite, Aeroelastic Analysis, Fluid-Structure Interaction Models, Composite Laminates, Climate Change, AI Autonomous Navigation, Optical Sensors, Cyberattacks, Optical Fiber Sensor, Fracture Analysis, Deep-Space Autonomous Navigation, Noise Sources. Photogrammetric Analysis, Acoustic Metamaterials, CO2 Emission, Supersonic Transport. |
| digital engineering vs mbse: Agile Systems Engineering Bruce Powel Douglass, 2015-09-24 Agile Systems Engineering presents a vision of systems engineering where precise specification of requirements, structure, and behavior meet larger concerns as such as safety, security, reliability, and performance in an agile engineering context. World-renown author and speaker Dr. Bruce Powel Douglass incorporates agile methods and model-based systems engineering (MBSE) to define the properties of entire systems while avoiding errors that can occur when using traditional textual specifications. Dr. Douglass covers the lifecycle of systems development, including requirements, analysis, design, and the handoff to specific engineering disciplines. Throughout, Dr. Douglass couples agile methods with SysML and MBSE to arm system engineers with the conceptual and methodological tools they need to avoid specification defects and improve system quality while simultaneously reducing the effort and cost of systems engineering. - Identifies how the concepts and techniques of agile methods can be effectively applied in systems engineering context - Shows how to perform model-based functional analysis and tie these analyses back to system requirements and stakeholder needs, and forward to system architecture and interface definition - Provides a means by which the quality and correctness of systems engineering data can be assured (before the entire system is built!) - Explains agile system architectural specification and allocation of functionality to system components - Details how to transition engineering specification data to downstream engineers with no loss of fidelity - Includes detailed examples from across industries taken through their stages, including the Waldo industrial exoskeleton as a complex system |
| digital engineering vs mbse: Advances in Production Management Systems. Towards Smart and Digital Manufacturing Bojan Lalic, Vidosav Majstorovic, Ugljesa Marjanovic, Gregor von Cieminski, David Romero, 2020-08-25 The two-volume set IFIP AICT 591 and 592 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2020, held in Novi Sad, Serbia, in August/September 2020. The 164 papers presented were carefully reviewed and selected from 199 submissions. They discuss globally pressing issues in smart manufacturing, operations management, supply chain management, and Industry 4.0. The papers are organized in the following topical sections: Part I: advanced modelling, simulation and data analytics in production and supply networks; advanced, digital and smart manufacturing; digital and virtual quality management systems; cloud-manufacturing; cyber-physical production systems and digital twins; IIOT interoperability; supply chain planning and optimization; digital and smart supply chain management; intelligent logistics networks management; artificial intelligence and blockchain technologies in logistics and DSN; novel production planning and control approaches; machine learning and artificial intelligence; connected, smart factories of the future; manufacturing systems engineering: agile, flexible, reconfigurable; digital assistance systems: augmented reality and virtual reality; circular products design and engineering; circular, green, sustainable manufacturing; environmental and social lifecycle assessments; socio-cultural aspects in production systems; data-driven manufacturing and services operations management; product-service systems in DSN; and collaborative design and engineering Part II: the Operator 4.0: new physical and cognitive evolutionary paths; digital transformation approaches in production management; digital transformation for more sustainable supply chains; data-driven applications in smart manufacturing and logistics systems; data-driven services: characteristics, trends and applications; the future of lean thinking and practice; digital lean manufacturing and its emerging practices; new reconfigurable, flexible or agile production systems in the era of industry 4.0; operations management in engineer-to-order manufacturing; production management in food supply chains; gastronomic service system design; product and asset life cycle management in the circular economy; and production ramp-up strategies for product |
| digital engineering vs mbse: Sustainable Development and Innovations in Marine Technologies Selma Ergin, C. Guedes Soares, 2022-09-13 Sustainable Development and Innovations in Marine Technologies includes the papers presented at the 19th International Congress of the International Association of the Mediterranean (IMAM 2022, Istanbul, Turkey, 26-29 September 2022), one of the major conferences in maritime industry. The Congress has a history of more than forty years since the first Congress was held in Istanbul in 1978. IMAM 2022 is the fourth congress hosted by Istanbul in its history. The IMAM congresses concentrate their activities in the thematic areas of Ship Building and Repair; Maritime Transportation and Logistics; Hydrodynamics, Marine Structures; Machinery and Control, Design and Materials; Marine Environment; Safety of Marine Systems; Decarbonisation and Digitalization; Off-shore and Coastal Development; Noise and Vibration; Defense and Security; Off-shore Renewable Energy. Sustainable Development and Innovations in Marine Technologies is essential reading for academics, engineers and all professionals involved in sustainable and innovative marine technologies. |
| digital engineering vs mbse: SysML Distilled Lenny Delligatti, 2013-11-08 The Systems Modeling Language (SysML) extends UML with powerful systems engineering capabilities for modeling a wider spectrum of systems and capturing all aspects of a system’s design. SysML Distilled is the first clear, concise guide for everyone who wants to start creating effective SysML models. (Drawing on his pioneering experience at Lockheed Martin and NASA, Lenny Delligatti illuminates SysML’s core components and provides practical advice to help you create good models and good designs. Delligatti begins with an easy-to-understand overview of Model-Based Systems Engineering (MBSE) and an explanation of how SysML enables effective system specification, analysis, design, optimization, verification, and validation. Next, he shows how to use all nine types of SysML diagrams, even if you have no previous experience with modeling languages. A case study running through the text demonstrates the use of SysML in modeling a complex, real-world sociotechnical system. Modeled after Martin Fowler’s classic UML Distilled, Delligatti’s indispensable guide quickly teaches you what you need to know to get started and helps you deepen your knowledge incrementally as the need arises. Like SysML itself, the book is method independent and is designed to support whatever processes, procedures, and tools you already use. 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 Essential concepts that apply to all SysML diagrams SysML diagram elements and relationships Diagramming block definitions, internal structures, use cases, activities, interactions, state machines, constraints, requirements, and packages Using allocations to define mappings among elements across a model SysML notation tables, version changes, and sources for more information |
| digital engineering vs mbse: From Data Modeling to Knowledge Engineering in Space System Design Hennig, Christian, 2018-02-13 The technologies currently employed for modeling complex systems, such as aircraft, spacecraft, or infrastructures, are sufficient for system description, but do not allow deriving knowledge about the modeled systems. This work provides the means to describe space systems in a way that allows automating activities such as deriving knowledge about critical parts of the system's design, evaluation of test success, and identification of single points of failure. |
| digital engineering vs mbse: Digital Transformation Reimund Neugebauer, 2019-05-14 With the exception of written letters and personal conversations, digital technology forms the basis of nearly every means of communication and information that we use today. It is also used to control the essential elements of economic, scientific, and public and private life: security, production, mobility, media, and healthcare. Without exaggerating it is possible to say that digital technology has become one of the foundations of our technologically oriented civilization. The benefits of modern data technology are so impressive and the potential for future applications so enormous that we cannot fail to promote its development if we are to retain our leading role in the competitive international marketplace. In this process, security plays a vital role in each of the areas of application of digital technology — the more technological sectors are entrusted to data systems technology, the more important their reliability becomes to us. Developing digital systems further while simultaneously ensuring that they always act and respond in the best interests of people is a central goal of the technological research and development propagated and conducted by Fraunhofer. |
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