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Informationen zum Autor Frank Dubinskas is the Howard W. Alkire Chair in International Business and Economics and associate professor of anthropology at Hamline University, which he joined in September 1993. His research and writing include a decade of work on the interface of technology, organizations, and culture, both in the United States and in Europe and Japan. Much of this work has been conducted in high-technology firms, and he has written on product development and manufacturing in the automobile, biotechnology, and computer industries; on concurrent engineering in manufacturing automation; and on knowledge management and collaboration in complex organization. Klappentext Monte Carlo Applications in Systems Engineering A. Dubi Ben Gurion University of the Negev, Beer-Sheva, Israel The Monte Carlo method allows real-world industrial problems to be analyzed without the need to make the unrealistic simplifying assumptions necessary when using deterministic mathematical models. Monte Carlo Applications in Systems Engineering presents a unified approach to time-dependent system behavior in which the Monte Carlo method serves as a tool to obtain solutions to real-world challenges. Dubi suggests that efficiency can be increased through this integrated approach which combines previously independent considerations such as product reliability, maintenance requirements and the availability of spare parts. Features include:* Comprehensive coverage of the basic theory behind systems engineering and the Monte Carlo method enabling the reader to understand the concepts involved* Description of the method from the basic estimation of simple statistical processes, through the evaluation of multidimensional integrals to the solution of complex transport equations* Extensive examples detailing practical industrial applications for each of the techniques presented* Accompanying software (available via ftp) relating to specific examples which allows the reader to use the methods described to solve practical problems* Discussion of a variety of analytical tools from classical probabilistic methods to the concepts of event distribution, aging and Markovian methods explaining how these fit into the general systems engineering frameworkPostgraduates and researchers interested in the development of the science of systems engineering will value the rigorous theoretical aspects. The broad industrial examples will be a boon to reliability, maintenance and systems engineers. Download accompanying software from ftp://ftp.wiley.co.uk/pub/books/dubi/ Zusammenfassung This volume presents a unified framework for systems engineering and a systematic and rigorous source for a comprehensive description of the utilization of Monte Carlo methods in practical engineering problems. The author suggests that efficiency can be improved through such an integrated approach. Inhaltsverzeichnis 1. Introduction - Probability and statistics 2. Basic concepts in system engineering 3. Basic concepts in Monte Carlo methods 4. Additional applications 5. Elements of uncertainty and uncertainty analysis 6. System transport 7. Realization of system transport Appendix...
