Management applications complex systems (36 risultati)

Hardcover. Condizione: Wie neu. New book, remains sealed in plastic. Language - English. Ships from Berlin.

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Condizione: New. In English.

Paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New. In English.

Condizione: New.

Hardback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: New.

Condizione: New. 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 complex.

Hardcover. Condizione: Brand New. 9.25x6.25x0.75 inches. In Stock.

Taschenbuch. Condizione: Neu. Uncertainty Management in Simulation-Optimization of Complex Systems | Algorithms and Applications | Gabriella Dellino (u. a.) | Taschenbuch | Operations Research/Computer Science Interfaces Series | xviii | Englisch | 2016 | Springer | EAN 9781489979612 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Buch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimization issues have been addressed by different communities with different methods, and from slightly different perspectives. Alternative approaches have been developed, also depending on the application context, without any well-established method clearly outperforming the others. This editorial project brings together - as chapter contributors - researchers from different (though interrelated) areas; namely, statistical methods, experimental design, stochastic programming, global optimization, metamodeling, and design and analysis of computer simulation experiments. Editors' goal is to take advantage of such a multidisciplinary environment, to offer to the readers a much deeper understanding of the commonalities and differences of the various approaches to simulation-based optimization, especially in uncertain environments. Editors aim to offer a bibliographic reference on the topic, enabling interested readers to learn about the state-of-the-art in this research area, also accounting for potential real-world applications to improve also the state-of-the-practice. Besides researchers and scientists of the field, the primary audience for the proposed book includes PhD students, academic teachers, as well as practitioners and professionals. Each of these categories of potential readers present adequate channels for marketing actions, e.g. scientific, academic or professional societies, internet-based communities, and authors or buyers of related publications.…

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimization issues have been addressed by different communities with different methods, and from slightly different perspectives. Alternative approaches have been developed, also depending on the application context, without any well-established method clearly outperforming the others. This editorial project brings together - as chapter contributors - researchers from different (though interrelated) areas; namely, statistical methods, experimental design, stochastic programming, global optimization, metamodeling, and design and analysis of computer simulation experiments. Editors' goal is to take advantage of such a multidisciplinary environment, to offer to the readers a much deeper understanding of the commonalities and differences of the various approaches to simulation-based optimization, especially in uncertain environments. Editors aim to offer a bibliographic reference on the topic, enabling interested readers to learn about the state-of-the-art in this research area, also accounting for potential real-world applications to improve also the state-of-the-practice. Besides researchers and scientists of the field, the primary audience for the proposed book includes PhD students, academic teachers, as well as practitioners and professionals. Each of these categories of potential readers present adequate channels for marketing actions, e.g. scientific, academic or professional societies, internet-based communities, and authors or buyers of related publications.…

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condizione: Brand New. reprint edition. 289 pages. 9.25x6.10x0.69 inches. In Stock.

Hardback. Condizione: New.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: New. pp. 292.

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: new. Questo è un articolo print on demand.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the last several decades, computer simulationshave been widely utilized to model and analyzecomplex systems at low costs and risks. Althoughsimulation can represent physical systemsrealistically, it is a descriptive tool without thecapability of suggesting better solutions. However,it can be complemented by incorporating optimizationroutines. The most challenging problem is thatlarge-scale simulation models normally take aconsiderable amount of computer time to execute sothat the number of solution evaluations needed bymost optimization algorithms is not feasible within areasonable time frame. This book, therefore, providesa highly efficient evolutionary simulation-baseddecision making procedure which can be applied inreal-time management situations. We have used thisnovel simulation-optimization technique to studyseveral disaster response problems. The methodologiesprovided herein should be useful to professionals andresearchers in the fields of industrial engineeringand operations research. The applications in disasterresponse management should help emergency managersand personnel to gain insights into severalsignificant response problems.…