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This book explores the ways that disciplinary convergence and technological advance are transforming systems engineering to address gaps in complex systems engineering: Transdisciplinary Systems Engineering (TSE). TSE reaches beyond traditional disciplines to find connections—and this book examines a range of new methods from across such disparate areas of scholarship as computer science, social science, human studies, and systems design to reveal patterns, efficiencies, affordances, and pathways to intuitive design. Organized to serve multiple constituencies, the book stands as an ideal textbook supplement for graduate courses in systems engineering, a reference text for program managers and practicing engineers in all industries, and a primary source for researchers engaged in multidisciplinary research in systems engineering and design. Introduces a bold, new vision of where model-based systems architecting and engineering is headed; Maximizes reader understanding of recent advances in social networks, collaboration technologies, interactive storytelling, virtual worlds, and systems design that enable transdisciplinary systems engineering; Illustrates convergence among disciplines across social, human, and applied sciences with robust examples; Facilitates creation of new courses in systems architecting and engineering by structuring each chapter as an independent resource, allowing the content to be presented in order of academic need. Azad Madni has eloquently and substantively addressed one of the most important issues facing 21st Century systems engineering and design. The author makes it clear that an environment of autonomous systems, system of systems, and the internet of things will require that we are able to apply more than math and science to solve thorny problems. They will necessitate that systems engineers and designers have an understanding of the intricate interactions that can exist between technology and humans. John Brooks Slaughter, Ph.D., P.E., NAE Professor of Education and Engineering University of Southern California President Emeritus, Occidental College Chancellor Emeritus, U. of Maryland.
Industrial economics --- Materials sciences --- Applied physical engineering --- Engineering sciences. Technology --- Plant and equipment --- Production management --- Artificial intelligence. Robotics. Simulation. Graphics --- fabrieken --- mechatronica --- DFMA (design for manufacture and assembly) --- industriële robots --- storytelling --- IoT (Internet of Things) --- automatisering --- productie --- industriële marketing --- machines --- kwaliteitscontrole --- ingenieurswetenschappen --- Engineering design. --- Control engineering. --- Robotics. --- Mechatronics. --- Quality control. --- Reliability. --- Industrial safety. --- Engineering economics. --- Engineering economy. --- Manufactures. --- Engineering Design. --- Control, Robotics, Mechatronics. --- Quality Control, Reliability, Safety and Risk. --- Engineering Economics, Organization, Logistics, Marketing. --- Manufacturing, Machines, Tools, Processes. --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Accidents --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Prevention --- Design
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Engineering mathematics --- System design --- Mathematical models --- Models, Mathematical --- Simulation methods
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This textbook is about three key aspects of system design: decision making under uncertainty, trade-off studies and formal risk analyses. Recognizing that the mathematical treatment of these topics is similar, the authors generalize existing mathematical techniques to cover all three areas. Common to these topics are importance weights, combining functions, scoring functions, quantitative metrics, prioritization and sensitivity analyses. Furthermore, human decision-making activities and problems use these same tools. Therefore, these problems are also treated uniformly and modeled using prospect theory. Aimed at both engineering and business practitioners and students interested in systems engineering, risk analysis, operational management, and business process modeling, Tradeoff Decisions in System Design explains how humans can overcome cognitive biases and avoid mental errors when conducting trade-off studies and risk analyses in a wide range of domains. With generous use of examples as a common thread across chapters this book.
Business.
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Operations research.
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Decision making.
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Control engineering.
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Industrial engineering.
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Production engineering.
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Business and Management.
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Operation Research/Decision Theory.
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Industrial and Production Engineering.
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Control.
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Manufacturing engineering
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Process engineering
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Management engineering
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Simplification in industry
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Control engineering
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Control equipment
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Deciding
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Decision (Psychology)
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Decision analysis
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Decision processes
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Making decisions
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Management
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Management decisions
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Operational analysis
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Operational research
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Trade
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Decision making
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Operations Research/Decision Theory.
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Control and Systems Theory.
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Engineering
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Value analysis (Cost control)
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Industrial engineering
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Management science
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Research
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System theory
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Automatic control.
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Decison making.
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Control theory
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Engineering instruments
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Automation
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Programmable controllers
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Mechanical engineering
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Choice (Psychology)
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Problem solving
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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. .
Control engineering. --- Computer science. --- Database management. --- Production management. --- Industrial engineering. --- Production engineering. --- Cooperating objects (Computer systems). --- Control and Systems Theory. --- Computer Science. --- Database Management System. --- Operations Management. --- Industrial and Production Engineering. --- Cyber-Physical Systems. --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Manufacturing management --- Industrial management --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Informatics --- Science --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Systems engineering --- Mathematical models.
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This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems. The unique features of this book are: Easy-to-understand description of the multiple facets of design, development and deployment of deep learning networks; Practical tools that facilitate understanding of underlying technology; Covers wide-ranging conceptual modeling and programming tools that animate deep learning applications.
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The 20th International Conference on Systems Engineering Research (CSER 2023) pushes the boundaries of systems engineering research and responds to new challenges for systems engineering. CSER 2023 invited researchers and practitioners to submit their work in alignment with the thematic focus on a smart and sustainable world. CSER was founded in 2003 by Stevens Institute of Technology and the University of Southern California, and in 2023 the conference returned to the Stevens campus in Hoboken, New Jersey.
Dynamics. --- Nonlinear theories. --- Control engineering. --- Cooperating objects (Computer systems). --- Industrial Management. --- Mathematical models. --- Applied Dynamical Systems. --- Control and Systems Theory. --- Cyber-Physical Systems. --- Mathematical Modeling and Industrial Mathematics.
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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.
Engineering. --- System theory. --- Vibration. --- Dynamical systems. --- Dynamics. --- Control engineering. --- Robotics. --- Mechatronics. --- Engineering economics. --- Engineering economy. --- Engineering Economics, Organization, Logistics, Marketing. --- Control, Robotics, Mechatronics. --- Vibration, Dynamical Systems, Control. --- Systems Theory, Control. --- Systems, Theory of --- Systems science --- Science --- Construction --- Industrial arts --- Technology --- Philosophy --- Systems theory. --- Cycles --- Mechanics --- Sound --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers
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