Download Free Improving Complex Systems Today Book in PDF and EPUB Free Download. You can read online Improving Complex Systems Today and write the review.

As the main theme of Improving Complex Systems Today implies, this book is intended to provide readers with a new perspective on concurrent engineering from the standpoint of systems engineering. It can serve as a versatile tool to help readers to navigate the ever-changing state of this particular field. The primary focus of concurrent engineering was, at first, on bringing downstream information as far upstream as possible by introducing parallel processing in order to reduce time to market and to prevent errors at a later stage which would sometimes cause irrevocable damage. Up to now, numerous new concepts, methodologies and tools have been developed, but over concurrent engineering’s 20-year history the situation has changed extensively. Now, industry has to work in the global marketplace and to cope with diversifying requirements and increasing complexities. Such globalization and diversification necessitate collaboration across different fields and across national boundaries. Thus, the new concurrent engineering calls for a systems approach to gain global market competitiveness. Improving Complex Systems Today provides a new insight into concurrent engineering today.
The world we live in is increasingly complex. It throws up complex problems. This book is about tackling them. At ThinkPlace, we’ve pioneered the application of design thinking to complex challenges like climate change, family violence and global malnutrition. We work globally with governments, organisations and communities using a methodology – the Design SystemTM outlined in this book – that has been developed over more than a decade. We bring together different voices and help them to create better futures. If you’re one of those voices, or would like to be, this book is for you. It’s part roadmap, part instruction manual, but mostly it’s a clarion call for a new way of doing things: tackling the world’s biggest problems in a way that brings people together and produces positive, lasting change.
Nine innovative methods to think outside the box and solve complex system problems Managing Complex Systems provides specific tools and guidance needed to be a more creative and innovative thinker. Following the author's methodology, the reader will be better able to devise and implement nontraditional solutions to seemingly intractable complex problems. By challenging the reader to think in new and creative ways, the book offers a road map to success, whether measured in terms of competitive advantage, greater market share, improved productivity, or higher profits, all based upon better solutions to difficult problems. The first four chapters set the foundation for creative thinking by exploring the nature of large-scale systems and complexity, thinking inside and outside the box, and examples of how an inventive mind solves problems in both management and scientific domains. Subsequent chapters address nine focused methods that the author has formulated to help the reader think outside the box: * Broaden and generalize * Crossover * Question conventional wisdom * Back of the envelope * Expanding the dimensions * Obversity * Remove constraints * Thinking with pictures * Systems approach Real-life examples are provided for each method that demonstrate how the approach enhances problem solving and decision making in system development and management. Following the discussion of the nine methods, the author examines group decision making as well as additional creative thinking procedures devised by other researchers, including references that assist in exploring these methods in greater detail. The author ends with a wrap-up chapter that includes a test to help readers practice their tendencies toward creative thinking skills and action with respect to solving real-world problems. The nine methods discussed in this book have broad applicability and can be used successfully by managers with a wide range of responsibilities in business and technology. For anyone who is tired of the same old approach with the same old results, this book is essential reading.
This book aims to develop models and modeling techniques that are useful when applied to all complex systems. It adopts both analytic tools and computer simulation. The book is intended for students and researchers with a variety of backgrounds.
This book presents an internationally comprehensive perspective into the field of complex systems. It explores the challenges of and approaches to complexity from a broad range of disciplines, including big data, health care, medicine, mathematics, mechanical and systems engineering, air traffic control and finance. The book’s interdisciplinary character allows readers to identify transferable and mutually exclusive lessons learned among these disciplines and beyond. As such, it is well suited to the transfer of applications and methodologies between ostensibly incompatible disciplines. This book provides fresh perspectives on comparable issues of complexity from the top minds on systems thinking.
This book is about dealing with messes. Sometimes known as 'wicked problems', messes (or messy situations) are fairly easy to spot:it's hard to know where to startwe can't define them everything seems to connect to everything else and depends on something else having been done first we get in a muddle thinking about them we often try to ignore some aspect/s of themwhen we finally do something about them, they usually get worse they're so entangled that our first mistake is usually to try and fix them as we would fix a simple problem.
This book illustrates how models of complex systems are built up and provides indispensable mathematical tools for studying their dynamics. This second edition includes more recent research results and many new and improved worked out examples and exercises.
A comprehensive text that reviews the methods and technologies that explore emergent behavior in complex systems engineering in multidisciplinary fields In Emergent Behavior in Complex Systems Engineering, the authors present the theoretical considerations and the tools required to enable the study of emergent behaviors in manmade systems. Information Technology is key to today’s modern world. Scientific theories introduced in the last five decades can now be realized with the latest computational infrastructure. Modeling and simulation, along with Big Data technologies are at the forefront of such exploration and investigation. The text offers a number of simulation-based methods, technologies, and approaches that are designed to encourage the reader to incorporate simulation technologies to further their understanding of emergent behavior in complex systems. The authors present a resource for those designing, developing, managing, operating, and maintaining systems, including system of systems. The guide is designed to help better detect, analyse, understand, and manage the emergent behaviour inherent in complex systems engineering in order to reap the benefits of innovations and avoid the dangers of unforeseen consequences. This vital resource: Presents coverage of a wide range of simulation technologies Explores the subject of emergence through the lens of Modeling and Simulation (M&S) Offers contributions from authors at the forefront of various related disciplines such as philosophy, science, engineering, sociology, and economics Contains information on the next generation of complex systems engineering Written for researchers, lecturers, and students, Emergent Behavior in Complex Systems Engineering provides an overview of the current discussions on complexity and emergence, and shows how systems engineering methods in general and simulation methods in particular can help in gaining new insights in complex systems engineering.
The last few years have seen an extraordinary growth in many areas of complex systems. In the field of synergetics and cooperative behaviour in neural systems a new vocabulary emerged to describe discoveries of wide-ranging and fundamental phenomena, like for example artificial life, biocomplexity, cellular automata, chaos, criticality, fractals, learning systems, neural networks, non-linear dynamics, parallel computation, percolation, self-organization.One of the contributing factors to this growth is the extraordinary increase in computing power. Previously intractable non-linear systems are now amenable to analysis and simulation and parallel computers are ever more important in these areas.The book contains papers exploring many aspects of complex systems, covering theory and applications and deal with material drawn from many different disciplines and specialities.
Composed of selected research papers, this book brings together new developments and processes for managing complexity. The included works originate from renowned complexity thinkers, well established practitioners and new researchers in the area of complexity and detail issues of common interest.