Written specifically for executives and MBA students, the third edition of this successful textbook provides a step-by-step guide to designing an organization, from diagnosis, to design and implementation. It provides comprehensive coverage of the key aspects of organizational design, including goals, strategy, process, people, coordination, control, and incentives. Following a new diamond model, fully tested in practice, the book guides readers through an integrated methodology for organizational assessment and planning. It includes a new chapter on project managing organizational change on a practical level, new case studies, extended discussions of new organizational forms, architecture design and knowledge systems, and new practical steps for implementation and change. An accompanying website gives free access to a selection of excel models, and features additional case studies, worksheets and templates, and a downloadable questionnaire for analyzing and diagnosing current organizations.
Digital media are revolutionising design, both as a tool in design practice and as a way of thinking about design products, processes and systems.
Surrogate models expedite the search for promising designs by standing in for expensive design evaluations or simulations. They provide a global model of some metric of a design (such as weight, aerodynamic drag, cost, etc.), which can then be optimized efficiently. <p> <p> <i>Engineering Design via Surrogate Modelling</i> is a self-contained guide to surrogate models and their use in engineering design. The fundamentals of building, selecting, validating, searching and refining a surrogate are presented in a manner accessible to novices in the field. Figures are used liberally to explain the key concepts and clearly show the differences between the various techniques, as well as to emphasize the intuitive nature of the conceptual and mathematical reasoning behind them. <p> More advanced and recent concepts are each presented in stand-alone chapters, allowing the reader to concentrate on material pertinent to their current design problem, and concepts are clearly demonstrated using simple design problems. This collection of advanced concepts (visualization, constraint handling, coping with noisy data, gradient-enhanced modelling, multi-fidelity analysis and multiple objectives) represents an invaluable reference manual for engineers and researchers active in the area. <p> <p> <i>Engineering Design via Surrogate Modelling</i> is complemented by a suite of Matlab codes, allowing the reader to apply all the techniques presented to their own design problems. By applying statistical modelling to engineering design, this book bridges the wide gap between the engineering and statistics communities. It will appeal to postgraduates and researchers across the academic engineering design community as well as practising design engineers. <p> <ul> <li>Provides an inclusive and practical guide to using surrogates in engineering design. <li>Presents the fundamentals of building, selecting, validating, searching and refining a surrogate model. <li>Guides the reader through the practical implementation of a surrogate-based design process using a set of case studies from real engineering design challenges. </ul> <p> <b>Accompanied by a companion website featuring Matlab software at</b> <b><u><a href="http://www.wiley.com/go/forrester">http://www.wiley.com/go/forrester</a></u></b>
Keep all of your internet website passwords and logins in one location. This journal has hundreds of entry spaces organized from A-Z by letter. There is also plenty of room for notes, network information, and any other computer information that you might need. Buy one for yourself, for family and friends. We have hundreds of unique covers available.
Computational intelligence techniques are becoming more and more important for automated problem solving nowadays. Due to the growing complexity of industrial applications and the increasingly tight time-to-market requirements, the time available for thorough problem analysis and development of tailored solution methods is decreasing. There is no doubt that this trend will continue in the foreseeable future. Hence, it is not surprising that robust and general automated problem solving methods with satisfactory performance are needed.
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