Scientists from four countries cooperated in a reseach effort aimed at the imporvement of operational reliability via innovations in design and testing and systematic maintenance. The scientists had varied backgrounds ranging from mathematic to applied mechanical engineering, and the results fo this effort are documented in this book.

Reliability, Maintainability, and Supportability play a crucial role in achieving a competitive product. While manufacturing costs are important for the success of a product, they are not the sole domains in realizing its competitive edge. Improved manufacturing and operating quality and performance coupled with reduced acquisition cost and in-service cost of ownership are important in achieving business success. It is the early phase of design which offers the greatest opportunity to address these requirements, and thus create life cycle effectiveness. The main objective of Reliability, Maintenance and Logistic Support - A Life Cycle Approach is to provide an integrated approach to reliability, maintainability, maintenance and logistic support analysis. We not only look at the ways we can improve the design process to ensure the product offers value for money, but we also consider how the owners can get the most from these products once they have entered service. The approach provides a meaningful way of integrating reliability, maintenance and supportability to enhance the product performance and sales opportunities. Hence, the book covers the following objectives: (1) Introduce the concepts of reliability, maintainability and supportability and their role in the system life cycle and effectiveness. (2) Introduce the basic probability and statistical techniques that are essential for modelling reliability, maintainability and supportability problems. (3) Introduce reliability measures: how to predict them; how to determine from in-service real-world data; how to use them. (4) Analysis of advanced models in Reliability. (5) Discuss basic and advanced concepts in both maintainability and maintenance including preventive, corrective and condition based maintenance. (6) Discuss maintenance management and optimization concepts, such as reliability-centered maintenance and age-related maintenance. (7) Provide basic concepts in supportability and Integrated logistic support. (8) Discuss techniques for design for reliability, maintainability and supportability. (9) Analysis of simple and advanced models in spares forecasting and optimization. (10) Discuss data analysis, data management and data mining techniques.

Safety, Reliability and Risk Analysis. Theory, Methods and Applications contains the papers presented at the joint ESREL (European Safety and Reliability) and SRA-Europe (Society for Risk Analysis Europe) Conference (Valencia, Spain, 22-25 September 2008). The book covers a wide range of topics, including: Accident and Incident Investigation; Crisi

A newly revised and updated edition that details both the theoretical foundations and practical applications of reliability engineering Reliability is one of the most important quality characteristics of components, products, and large and complex systems—but it takes a significant amount of time and resources to bring reliability to fruition. Thoroughly classroom- and industry-tested, this book helps ensure that engineers see reliability success with every product they design, test, and manufacture. Divided into three parts, Reliability Engineering, Second Edition handily describes the theories and their practical uses while presenting readers with real-world examples and problems to solve. Part I focuses on system reliability estimation for time independent and failure dependent models, helping engineers create a reliable design. Part II aids the reader in assembling necessary components and configuring them to achieve desired reliability objectives, conducting reliability tests on components, and using field data from similar components. Part III follows what happens once a product is produced and sold, how the manufacturer must ensure its reliability objectives by providing preventive and scheduled maintenance and warranty policies. This Second Edition includes in-depth and enhanced chapter coverage of: Reliability and Hazard Functions System Reliability Evaluation Time- and Failure-Dependent Reliability Estimation Methods of the Parameters of Failure-Time Distributions Parametric Reliability Models Models for Accelerated Life Testing Renewal Processes and Expected Number of Failures Preventive Maintenance and Inspection Warranty Models Case Studies A comprehensive reference for practitioners and professionals in quality and reliability engineering, Reliability Engineering can also be used for senior undergraduate or graduate courses in industrial and systems, mechanical, and electrical engineering programs.

This book represents the proceedings of the 10th annual symposium of the Society of Reliability Engineers, Scandinavian Chapter, and was held in Stavanger, Norway, 9-11 October 1989. The theme of the symposium emphasised the need for obtaining a competitive edge through reliability in systems engineering and addressed the role of reliability in marketing, contracts, customer support and product liability. This book will be of interest to those involved in reliability engineering, risk assessment, safety and maintenance engineering.

Explores methods for the representation and treatment of uncertainty in risk assessment In providing guidance for practical decision-making situations concerning high-consequence technologies (e.g., nuclear, oil and gas, transport, etc.), the theories and methods studied in Uncertainty in Risk Assessment have wide-ranging applications from engineering and medicine to environmental impacts and natural disasters, security, and financial risk management. The main focus, however, is on engineering applications. While requiring some fundamental background in risk assessment, as well as a basic knowledge of probability theory and statistics, Uncertainty in Risk Assessment can be read profitably by a broad audience of professionals in the field, including researchers and graduate students on courses within risk analysis, statistics, engineering, and the physical sciences. Uncertainty in Risk Assessment: Illustrates the need for seeing beyond probability to represent uncertainties in risk assessment contexts. Provides simple explanations (supported by straightforward numerical examples) of the meaning of different types of probabilities, including interval probabilities, and the fundamentals of possibility theory and evidence theory. Offers guidance on when to use probability and when to use an alternative representation of uncertainty. Presents and discusses methods for the representation and characterization of uncertainty in risk assessment. Uses examples to clearly illustrate ideas and concepts.

First published in 1993. Routledge is an imprint of Taylor & Francis, an informa company.