Statistical Reliability in Aerospace Industry: Integrated Decision Evaluation and Analysis Systems I-Li Lu, Ex-Boeing Associate Technical Fellow and Wal-Mart Stores, Inc. Lead Enterprise Decision Scientist, USA Explores statistical methods used in reliability-based optimisation systems with particular emphasis on the aerospace industry. Routinely we all face decisions which carry an element of risk and our increasing reliance on technology has led to the need for more precise assessments of risk and reliability. Statistical Reliability in Aerospace Industry provides an in-depth account of statistical methods developed and implemented in reliability-based decision support optimization systems. It presents concepts and methodology using maintenance and performance data from the aerospace industry along with demonstrations on how optimization concepts are developed alongside reliability methods to assess the risk and impact of preventive maintenance. It covers a wide range of topics from decision support systems and software tools for reliability through to risk and hazard analysis and software reliability and performance management. Statistical Reliability in Aerospace Industry: Presents an innovative approach for designing proactive decision support systems. Provides integrated diagnostics/prognostic maintenance optimization process for need-based maintenance. Explores the most cost-effective way to conduct scheduled maintenance. Illustrates new classes of fat-tailed distributions to model extreme events. Covers unstructured, semi-structured and structured data, applied reliability methods, and optimization in a business setting. Features practical examples throughout to illustrate the concepts presented. An excellent reference for engineers and scientists who use reliability to optimize tasks for complex systems within the aerospace industry. Practitioners in industrial engineering, maintenance industries and health care industries will also benefit from this book.