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 framework
Postgraduates 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/

Mit Hilfe der Monte-Carlo-Methode kann man reale Probleme simulieren und analysieren, ohne unrealistische Annahmen einführen zu müssen, die zur Formulierung eines mathematischen Proze modells meist notwendig sind. Dieses Werk zeigt, wo und wie sich Monte-Carlo-Simulationen in der ingenieurtechnischen Praxis einsetzen lassen. Die zugehörige Software bietet Lösungen zu zahlreichen speziellen Problemen. (10/99)