The Monte Carlo method allows real-world industrial problems to be analysed without the need to make the unrealistic simplifying assumptions necessary when using mathematical models. 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 which combines previously independent practical considerations, such as product reliability, maintenance requirements, and the availability of spare parts. This text is supported by a large number of worked examples from real industrial problems. It presents an integrated approach to systems engineering incorporating data analysis, reliability, maintainability, logistics resources, and spare parts.