This book focuses on systems engineering, systems thinking, and how that thinking can be learned in practice. It describes a novel analytical framework based on activity theory for understanding how systems thinking evolves and how it can be improved to support multidisciplinary teamwork in the context of system development and systems engineering. This method, developed using data collected over four years from three different small space systems engineering organizations, can be applied in a wide variety of work activities in the context of engineering design and beyond in order to monitor and analyze multidisciplinary interactions in working teams over time. In addition, the book presents a practical strategy called WAVES (Work Activity for a Evolution of Systems engineering and thinking), which fosters the practical learning of systems thinking with the aim of improving process development in different industries. The book offers an excellent resource for researchers and practitioners interested in systems thinking and in solutions to support its evolution. Beyond its contribution to a better understanding of systems engineering, systems thinking and how it can be learned in real-world contexts, it also introduce a suitable analysis framework that helps to bridge the gap between the latest social science research and engineering research.

Annotation This volume offers a comprehensive understanding of systems ideas and methods, showing professionals in a wide range of high-tech fields how to conceive, design and manage a systems engineering process for optimal results and goal attainment.

Systems-thinking, a holistic approach that puts the study of wholes before that of parts, is an effective means of dealing with real-world situations. Emphasizing the interrelationships between the system's components rather than the components themselves, systems thinking allows us to increase our personal and professional effectiveness, and transform our organizations. Specifically, systems thinkers are able to conceptually analyze the system without knowing all the details, metaphorically recognizing the forest through the trees. They can see beyond the surface to the deeper patterns that are really responsible for creating behavior. This book provides a wealth of knowledge about systems thinking, enables readers to deeply understand what systems thinking is, and why it is so important in their work. Readers will learn the conceptual foundations of systems thinking, as well as its tools and the proper ways to use them. These tools will facilitate defining problems and designing solutions in an environment increasingly characterized by chaos and complexity. Since systems thinking is not a discipline, but rather an interdisciplinary conceptual framework used in a wide range of areas, this book presents the applications of systems thinking in different domains, including systems engineering, project management, healthcare, psychology and education. The editors, who are experts in the field of systems thinking due to numerous studies they conducted on this subject, have skillfully created a multidimensional view on systems thinking, including theory and practice, research and application, in a wide variety of fields. Therefore, this book will be useful for researches and practitioners, as well as suitable for beginners and specialists alike.

This Systems Thinking Special Issue contains 12 papers on the nature of systems thinking as it applies to systems engineering, systems science, system dynamics, and related fields. Systems thinking can be broadly considered the activity of thinking applied in a systems context, forming a basis for fundamental approaches to several systems disciplines, including systems engineering, systems science, and system dynamics. Although these are somewhat distinct fields, they are bound by common approaches in regard to systems. Whereas systems engineering seeks to apply a multidisciplinary, holistic approach to the development of systems, systems science seeks to understand the basics related to systems of all kinds, from natural to man-made, and system dynamics seeks to understand system structures in order to influence its dynamics. Man-made systems have become more ubiquitous and complex. The study of systems, both natural and engineered, presents new challenges and opportunities to understand emergent, dynamic behaviors that inform the process of sense-making based on systems thinking.

A new approach to safety, based on systems thinking, that is more effective, less costly, and easier to use than current techniques. Engineering has experienced a technological revolution, but the basic engineering techniques applied in safety and reliability engineering, created in a simpler, analog world, have changed very little over the years. In this groundbreaking book, Nancy Leveson proposes a new approach to safety—more suited to today's complex, sociotechnical, software-intensive world—based on modern systems thinking and systems theory. Revisiting and updating ideas pioneered by 1950s aerospace engineers in their System Safety concept, and testing her new model extensively on real-world examples, Leveson has created a new approach to safety that is more effective, less expensive, and easier to use than current techniques. Arguing that traditional models of causality are inadequate, Leveson presents a new, extended model of causation (Systems-Theoretic Accident Model and Processes, or STAMP), then shows how the new model can be used to create techniques for system safety engineering, including accident analysis, hazard analysis, system design, safety in operations, and management of safety-critical systems. She applies the new techniques to real-world events including the friendly-fire loss of a U.S. Blackhawk helicopter in the first Gulf War; the Vioxx recall; the U.S. Navy SUBSAFE program; and the bacterial contamination of a public water supply in a Canadian town. Leveson's approach is relevant even beyond safety engineering, offering techniques for “reengineering” any large sociotechnical system to improve safety and manage risk.

This book provides an overview of systems engineering, its important elements, and aspects of management that will lead in the direction of building systems with a greater likelihood of success. Emphasis is placed upon the following elements: - How the systems approach is defined, and how it guides the systems engineering processes - How systems thinking helps in combination with the systems approach and systems engineering - Time lines that define the life cycle dimensions of a system - System properties, attributes, features, measures and parameters - Approaches to architecting systems - Dealing with requirements, synthesis, analysis and cost effectiveness considerations - Life cycle costing of systems - Modeling, simulation and other analysis methods - Technology and its interplay with risk and its management - Systems acquisition and integration - Systems of systems - Thinking outside the box - Success and failure factors - Software engineering - Standards - Systems engineering management Together, these top-level aspects of systems engineering need to be understood and mastered in order to improve the way we build systems, as they typically become larger and more complex. Table of Contents: Definitions and Background / The Systems Approach / Systems Thinking / Key Elements of Systems Engineering / The Life Cycle Dimension / System Properties, Attributes and Features (PAFs) / Measures and Parameters / Architecting / Functional Decomposition / Requirements Engineering / Synthesis / Analysis / Cost-Effectiveness / Life Cycle Costing / Modeling and Simulation / Other Analysis Relationships / The Role of Technology / Risk Management / Testing, Verification, and Validation / Integration / Systems Engineering Management / Project Management / Software Engineering / Systems Acquisition / Systems of Systems / Thinking Outside the Box / Ten Failure Factors / A Success Audit / Standards

Decision Making in Systems Engineering and Management is a comprehensive textbook that provides a logical process and analytical techniques for fact-based decision making for the most challenging systems problems. Grounded in systems thinking and based on sound systems engineering principles, the systems decisions process (SDP) leverages multiple objective decision analysis, multiple attribute value theory, and value-focused thinking to define the problem, measure stakeholder value, design creative solutions, explore the decision trade off space in the presence of uncertainty, and structure successful solution implementation. In addition to classical systems engineering problems, this approach has been successfully applied to a wide range of challenges including personnel recruiting, retention, and management; strategic policy analysis; facilities design and management; resource allocation; information assurance; security systems design; and other settings whose structure can be conceptualized as a system.