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Metrics and Case Studies for Evaluating Engineering Designs considers four principal metrics for system design: . Design Difficulty - Some projects do not immediately reveal their complexity. Taking some time to assess the true intricacy of each situation at the outset allows you to plan appropriately from the beginning. Required Resources - An accurate understanding of the materials and personnel needed to fulfill your goals is another keystone of good planning. Systems Engineering Efficacy - As projects get more sophisticated, the impact of systems structure becomes more and more important for success. Developmental Environment - Both technology and organizational politics affect the progress of any project. Knowing your environment allows you to identify risks before they endanger your project. Metrics and Case Studies for Evaluating Engineering Designs applies these metrics to 30 real-life case studies. Drawn from the authors' experience in industry and teaching, each case illustrates one or more of the essentials in action. Moving from simple to complex systems, the book shows how readers can apply these theories to develop individual metrics tailored to their own organizations. This common-sense approach does not require readers to understand complicated mathematics or statistical models. The authors' straightforward style makes this book ideal reading for executives in business and government who need to evaluate complex programs without having a heavy technical background. Students in all engineering disciplines can also benefit from this practical, inventive guide.
This book presents the results of several years’ research work on how to characterize complexity in engineering design with a specific regard to dependency modeling. The 52 complexity metrics that are presented show different facets of how complexity takes shape in design processes. The metrics are supported by a modeling method and a measurement framework to employ the metrics in a goal-oriented manner. The detailed description of all involved metrics and models makes it possible to apply the analysis approach to common process modeling methodologies. Three case studies from automotive process management illustrate the application to facilitate the transfer to other cases in an industrial context. The comprehensive appendix supplies additional details and checklists for structural analysis to generate a complete overview of current means of structural analysis.
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. “This book provides an excellent road map for designing and producing competitive products.”
It is widely accepted that innovation is key to economic growth. Countries where research and innovation are high on the national agenda are best suited to prosper in the knowledge-based economy. Conversely, countries whose economies are mainly dependent on natural resources and basic industries tend to lack competitiveness and flexibility in adapting to changing global trends. The Organisation for Economic Co-operation and Development (OECD) has long been concerned with the measurement of research and experimental development (R&D) and innovation activities. Under apartheid rule South Africa was barred from participating in OECD activities. Shortly after the advent of democracy in South Africa in 1994 the then Department of Arts, Culture, Science and Technology (now the Department of Science and Technology) initiated the process of applying for observer status on the OECD Committee for Scientific and Technological Policy. South Africa gained observer status in 1998. In March 2001, the Department and the OECD jointly hosted an international seminar in Pretoria on the measurement of innovation activities in OECD and non-OECD countries. This book is a collection of selected papers that were presented at the seminar by leading international and South African experts in innovation measurement. The chapters reflect various aspects of the measurement of innovation and how these measurements are applied in different countries. The volume contributes to the debate that exists between developing and developed countries on their approaches to the measurement of innovation.
You can find them in your wristwatch or MP3 player; they perform specific functions in washing machines, traffic lights, and even pacemakers. Embedded systems are pervasive, ubiquitous, and widespread throughout our daily lives. Developing these real-time embedded products requires an understanding of the interactions between different disciplines,
This book details the foundations, new developments and methods, applications, and current challenges of systems engineering (SE). It provides key insights into SE as a concept and as an approach based on the holistic view on the entire lifecycle (requirements, design, production, and exploitation) of complex engineering systems, such as spacecraft, aircraft, power plants, and ships. Written by leading international experts, the book describes the achievements of the holistic, transdisciplinary approach of SE as state of the art both in research and practice using case study examples from originating at universities and companies such as Airbus, BAE Systems, BMW, Boeing, and COMAC. The reader obtains a comprehensive insight into the still existing challenges of the concept of SE today and the various forms in which SE is applied in a variety of areas.
This second edition comprehensively presents important tools of linear systems theory, including differential and difference equations, Laplace and Z transforms, and more. Linear Systems Theory discusses: Nonlinear and linear systems in the state space form and through the transfer function method Stability, including marginal stability, asymptotical stability, global asymptotical stability, uniform stability, uniform exponential stability, and BIBO stability Controllability Observability Canonical forms System realizations and minimal realizations, including state space approach and transfer function realizations System design Kalman filters Nonnegative systems Adaptive control Neural networks The book focuses mainly on applications in electrical engineering, but it provides examples for most branches of engineering, economics, and social sciences. What's New in the Second Edition? Case studies drawn mainly from electrical and mechanical engineering applications, replacing many of the longer case studies Expanded explanations of both linear and nonlinear systems as well as new problem sets at the end of each chapter Illustrative examples in all the chapters An introduction and analysis of new stability concepts An expanded chapter on neural networks, analyzing advances that have occurred in that field since the first edition Although more mainstream than its predecessor, this revision maintains the rigorous mathematical approach of the first edition, providing fast, efficient development of the material. Linear Systems Theory enables its reader to develop his or her capabilities for modeling dynamic phenomena, examining their properties, and applying them to real-life situations.
Computer aided design (CAD) emerged in the 1960s out of the growing acceptance of the use of the computer as a design tool for complex systems. As computers have become faster and less expensive while handling an increasing amount of information, their use in machine design has spread from large industrial needs to the small designer.
The science of resilience engineering is so new that there is little agreement about what it is. This book presents a framework for implementation that any organization, public or private, can use as a guide for establishing its own procedures and processes for achieving system resilience. This framework relies on an extensive familiarity with both the current research and also standard ways that programs are run in industry. This book can be used as a textbook in university courses or as a reference for practicing engineers, technology managers, and business professionals.