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A Primer for Model-Based Systems Engineering by David Long,Zane Scott Pdf
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.
Practical Model-Based Systems Engineering by Jose L. Fernandez,Carlos Hernandez Pdf
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.
Handbook of Model-Based Systems Engineering by Azad M. Madni,Norman Augustine,Michael Sievers Pdf
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.
Effective Model-Based Systems Engineering by John M. Borky,Thomas H. Bradley Pdf
This textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel. The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied to complex system architectures. It then walks through the phases of the MBSE methodology, using system examples to illustrate key points. Subsequent chapters broaden the application of MBSE in Service-Oriented Architectures (SOA), real-time systems, cybersecurity, networked enterprises, system simulations, and prototyping. The vital subject of system and architecture governance completes the discussion. The book features exercises at the end of each chapter intended to help readers/students focus on key points, as well as extensive appendices that furnish additional detail in particular areas. The self-contained text is ideal for students in a range of courses in systems architecture and MBSE as well as for practitioners seeking a highly practical presentation of MBSE principles and techniques.
Effective Model-based Systems Engineering by John M. Borky,Thomas H. Bradley Pdf
This textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel. The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied to complex system architectures. It then walks through the phases of the MBSE methodology, using system examples to illustrate key points. Subsequent chapters broaden the application of MBSE in Service-Oriented Architectures (SOA), real-time systems, cybersecurity, networked enterprises, system simulations, and prototyping. The vital subject of system and architecture governance completes the discussion. The book features exercises at the end of each chapter intended to help readers/students focus on key points, as well as extensive appendices that furnish additional detail in particular areas. The self-contained text is ideal for students in a range of courses in systems architecture and MBSE as well as for practitioners seeking a highly practical presentation of MBSE principles and techniques. Maximizes student understanding of MBSE with a realistic and feasible approach without excessive treatment of modeling theory; Emphasizes system architecture and engineering, including hardware, software, controlled equipment, networking, and other system elements, in contrast to the many existing books that focus largely or entirely on software; Reinforces concepts with end of chapter problems; Demonstrates how to model and manage both functional requirements and non-functional requirements that define overarching system characteristics such as openness, security, affordability, and ease of use; Provides a comprehensive introduction to all important areas of modern Systems Engineering practice, including the Model-Based System Architecture Process (MBSAP), Service-Oriented Architecture (SOA), real-time systems, cybersecurity, and networked enterprises; Illustrates every aspect of the methodology with detailed system examples.
Model-Based System Architecture by Tim Weilkiens,Jesko G. Lamm,Stephan Roth,Markus Walker Pdf
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.
Disciplinary Convergence in Systems Engineering Research by Azad M. Madni,Barry Boehm,Roger G. Ghanem,Daniel Erwin,Marilee J. Wheaton Pdf
The theme of this volume on systems engineering research is disciplinary convergence: bringing together concepts, thinking, approaches, and technologies from diverse disciplines to solve complex problems. Papers presented at the Conference on Systems Engineering Research (CSER), March 23-25, 2017 at Redondo Beach, CA, are included in this volume. This collection provides researchers in academia, industry, and government forward-looking research from across the globe, written by renowned academic, industry and government researchers.
This book will change the way you think about problems. It focuses on creating solutions to all sorts of complex problems by taking a practical, problem-solving approach. It discusses not only what needs to be done, but it also provides guidance and examples of how to do it. The book applies systems thinking to systems engineering and introduces several innovative concepts such as direct and indirect stakeholders and the Nine-System Model, which provides the context for the activities performed in the project, along with a framework for successful stakeholder management. A list of the figures and tables in this book is available at https://www.crcpress.com/9781138387935. FEATURES • Treats systems engineering as a problem-solving methodology • Describes what tools systems engineers use and how they use them in each state of the system lifecycle • Discusses the perennial problem of poor requirements, defines the grammar and structure of a requirement, and provides a template for a good imperative construction statement and the requirements for writing requirements • Provides examples of bad and questionable requirements and explains the reasons why they are bad and questionable • Introduces new concepts such as direct and indirect stakeholders and the Shmemp! • Includes the Nine-System Model and other unique tools for systems engineering
Systems Engineering in Context by Stephen Adams,Peter A. Beling,James H. Lambert,William T. Scherer,Cody H. Fleming Pdf
This volume chronicles the 16th Annual Conference on System Engineering Research (CSER) held on May 8-9, 2018 at the University of Virginia, Charlottesville, Virginia, USA. The CSER offers researchers in academia, industry, and government a common forum to present, discuss, and influence systems engineering research. It provides access to forward‐looking research from across the globe, by renowned academicians as well as perspectives from senior industry and government representatives. Co‐founded by the University of Southern California and Stevens Institute of Technology in 2003, CSER has become the preeminent event for researchers in systems engineering across the globe. Topics include though are not limited to the following: Systems in context: · Formative methods: requirements · Integration, deployment, assurance · Human Factors · Safety and Security Decisions/ Control & Design; Systems Modeling: · Optimization, Multiple Objectives, Synthesis · Risk and resiliency · Collaborative autonomy · Coordination and distributed decision-making Prediction: · Prescriptive modeling; state estimation · Stochastic approximation, stochastic optimization and control Integrative Data engineering: · Sensor Management · Design of Experiments
Model Based Systems Engineering by Patrice Micouin Pdf
This book is a contribution to the definition of a model based system engineering (MBSE) approach, designed to meet the objectives laid out by the INCOSE. After pointing out the complexity that jeopardizes a lot of system developments, the book examines fundamental aspects of systems under consideration. It goes on to address methodological issues and proposes a methodic approach of MBSE that provides, unlike current practices, systematic and integrated model-based engineering processes. An annex describes relevant features of the VHDL-AMS language supporting the methodological issues described in the book.
Get to grips with systems engineering life cycles, processes, and best practices and discover techniques to successfully develop complex systems Key Features Discover how to manage increased complexity and understand systems better via effective communication Adopt a proven model-based approach for systems engineering in your organization Apply proven techniques for requirements, design, validation and verification, and systems engineering management Book DescriptionSystems engineering helps us to understand, specify, and develop complex systems, and is applied across a wide set of disciplines. As systems and their associated problems become increasingly complex in this evermore connected world, the need for more rigorous, demonstrable, and repeatable techniques also increases. Written by Professor Jon Holt – an internationally recognized systems engineering expert – this book provides a blend of technical and business aspects you need to understand in order to develop successful systems. You'll start with systems engineering basics and understand the complexity, communication, and different stakeholders' views of the system. The book then covers essential aspects of model-based systems engineering, systems, life cycles, and processes, along with techniques to develop systems. Moving on, you'll explore system models and visualization techniques, focusing on the SysML, and discover how solutions can be defined by developing effective system design, verification, and validation techniques. The book concludes by taking you through key management processes and systems engineering best practices and guidelines. By the end of this systems engineering book, you'll be able to confidently apply modern model-based systems engineering techniques to your own systems and projects.What you will learn Understand the three evils of systems engineering - complexity, ambiguous communication, and lack of understanding Realize successful systems using model-based systems engineering Understand the concept of life cycles and how they control the evolution of a system Explore processes and related concepts such as activities, stakeholders, and resources Discover how needs fit into the systems life cycle and which processes are relevant and how to comply with them Find out how design, verification, and validation fit into the life cycle and processes Who this book is for This book is for aspiring systems engineers, engineering managers, or anyone looking to apply systems engineering practices to their systems and projects. While a well-structured, model-based approach to systems engineering is an essential skill for engineers of all disciplines, many companies are finding that new graduates have little understanding of systems engineering. This book helps you acquire this skill with the help of a simple and practical approach to developing successful systems. No prior knowledge of systems engineering or modeling is required to get started with this book.
For the past several decades, systems engineering has grown rapidly in its scope and application and shown significant benefits for the design of large, complex systems. However, current systems engineering textbooks are either too technical or at a high conceptual level. Written by an expert with more than ten years of teaching experience, Systems Engineering: Design Principles and Models not only gives students exposure to the concepts of systems and systems engineering, but also provides enough technical expertise for them to immediately use and apply what they learn. The book covers systems and systems engineering, systems methods, models, and analytical techniques as well as systems management and control methods. It discusses systems concepts, emphasizing system life cycle, and includes coverage of systems design processes and the major activities involved. It offers hands-on exercises after each chapter, giving students a solid understanding of system requirements, and uses a software package (CORE) to introduce the requirement management process. Designed for readers with a wide range of backgrounds, the book enables students to learn about systems and systems engineering, and, more specifically, to be able to use and apply the models and methods in the systems engineering field. The author has integrated feedback from students with materials used in teaching for many years, making the book especially approachable to non-engineering students with no prior exposure to this subject. Engineering students, on the other hand, will also benefit from the clear, concise coverage this book provides as well as the relevant analysis models and techniques.
Modeling and Simulation Support for System of Systems Engineering Applications by Larry B. Rainey,Andreas Tolk Pdf
“...a much-needed handbook with contributions from well-chosen practitioners. A primary accomplishment is to provide guidance for those involved in modeling and simulation in support of Systems of Systems development, more particularly guidance that draws on well-conceived academic research to define concepts and terms, that identifies primary challenges for developers, and that suggests fruitful approaches grounded in theory and successful examples.” Paul Davis, The RAND Corporation Modeling and Simulation Support for System of Systems Engineering Applications provides a comprehensive overview of the underlying theory, methods, and solutions in modeling and simulation support for system of systems engineering. Highlighting plentiful multidisciplinary applications of modeling and simulation, the book uniquely addresses the criteria and challenges found within the field. Beginning with a foundation of concepts, terms, and categories, a theoretical and generalized approach to system of systems engineering is introduced, and real-world applications via case studies and examples are presented. A unified approach is maintained in an effort to understand the complexity of a single system as well as the context among other proximate systems. In addition, the book features: Cutting edge coverage of modeling and simulation within the field of system of systems, including transportation, system health management, space mission analysis, systems engineering methodology, and energy State-of-the-art advances within multiple domains to instantiate theoretic insights, applicable methods, and lessons learned from real-world applications of modeling and simulation The challenges of system of systems engineering using a systematic and holistic approach Key concepts, terms, and activities to provide a comprehensive, unified, and concise representation of the field A collection of chapters written by over 40 recognized international experts from academia, government, and industry A research agenda derived from the contribution of experts that guides scholars and researchers towards open questions Modeling and Simulation Support for System of Systems Engineering Applications is an ideal reference and resource for academics and practitioners in operations research, engineering, statistics, mathematics, modeling and simulation, and computer science. The book is also an excellent course book for graduate and PhD-level courses in modeling and simulation, engineering, and computer science.
Systems Engineering for the Digital Age by Dinesh Verma Pdf
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.
Architecting Spacecraft With Sysml by Sanford Friedenthal,Christopher Oster Pdf
A Guide to Apply a Model-based Systems Engineering Approach with SysML to Specify and Architect Systems. This book provides a straightforward guide to develop an architecture model of aSmall Satellite using the Systems Modeling Language (SysML(r)). SysML is a general-purpose modeling language used to specify and architect systems. Model-based Systems Engineering (MBSE) is intended to produce an integratedsystem model using SysML which reflects multiple views of the system to specify theinteraction and interconnection of its components, and their functions, states,interfaces, and performance and physical characteristics. The system model canenhance quality, reuse, and shared understanding of the system. This book can be used by instructors and students to learn how to apply MBSE with SysML, as wellas practitioners of MBSE and organizations as a reference approach for their application.