Monte Carlo Applications in Systems Engineering

ISBN-13: 9780471981725 / Angielski / Twarda / 2000 / 288 str.

A. Dubi;Dubi

Opis

Focusses on the industry and use of mathematical methods, in particular the Monte Carlo method as a tool that can support and improve the engineering of systems. The application of the Monte Carlo method to system engineering is a new concept and the Monte Carlo method allows serious mathematical treatment of real-world industrial systems. This book which includes a large number of worked examples from real industrial problems, will prove a valuable reference source for students, researchers and engineers.

It 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. The author suggest 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.

Spis treści

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

Blurb

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/