Handbook of Reliability Engineering

Handbook for the computation and empirical estimation of reliability. Introduces an incomparable volume of easily applicable, cutting-edge results originated by prominent Russian reliability specialists. Completely covers probabilistic reliability, statistical reliability and optimization with simple, step-by-step, numerical examples. Offers a broad range of applications in engineering, operations research, cost analysis and project management. Explores reliability software extensively. Includes appendices with summary reviews of mathematical and statistical fundamentals. Partial table of contents:

PROBABILITY.

Basic Concepts, Measures, and Definition.

Units.

Unrenewable Equipment.

Renewable Systems.

Repairable Dual Systems.

Systems with Network Structures.

Evaluation of System Effectiveness.

Systems with Time Redundancy.

Queuing Systems with Unreliable Service Channels.

Mechanical Equipment.

STATISTICS.

Estimation of Equipment Reliability from Tests.

Acceptance-Rejection Tests.

Accelerated Tests.

Reliability Growth.

Monte Carlo Simulations.

OPTIMIZATION.

Optimal Redundancy.

Optimal Supply of Spare Parts.

Optimal Control of Inventories of Spare Parts.

Optimal Maintenance.

Appendices.

References.

Index.

IGOR A. USHAKOV, DSc, is the chief scientist at SOTAS, Inc. He is a member of the Russian Academy of Sciences and a Distinguished Visiting Professor of Operations Research at George Washington University. He has served on the editorial boards of numerous journals, including Management Sciences, European Journal on Operations Research, and Kubernetes. Dr. Ushakov has published hundreds of papers and more than twenty books on operations research and reliability theory, including Handbook of Reliability Engineering, published by Wiley in 1994.