BASIC Reliability Engineering Analysis describes reliability activities as they occur during an industrial development cycle. Reliability as a function of time is discussed, along with systems modeling, predicting and estimating reliability, and quality assurance. This book is comprised of seven chapters and begins with a brief introduction to the BASIC computer language used in the programs in the text. The second chapter describes the way reliability is taken into account in different parts of the development cycle, while the third chapter discusses the basic concepts of reliability as a function of time, failure rate, and some basic statistical concepts. The fourth chapter deals with the modeling of complex systems and related topics such as availability and maintainability. The fifth chapter describes the activities that can go on early in the development cycle, while the sixth chapter gives some of the techniques that can be used to analyze data generated during development or later in the cycle when equipment is in use. The final chapter offers a brief look at quality assurance and acquaints the reader with the concepts involved, using inspection by attributes to introduce the ideas. This monograph is intended for engineers or managers with a particular interest in reliability, as well as for engineering undergraduates.

Offers a holistic approach to guiding product design, manufacturing, and after-sales support as the manufacturing industry transitions from a product-oriented model to service-oriented paradigm This book provides fundamental knowledge and best industry practices in reliability modelling, maintenance optimization, and service parts logistics planning. It aims to develop an integrated product-service system (IPSS) synthesizing design for reliability, performance-based maintenance, and spare parts inventory. It also presents a lifecycle reliability-inventory optimization framework where reliability, redundancy, maintenance, and service parts are jointly coordinated. Additionally, the book aims to report the latest advances in reliability growth planning, maintenance contracting and spares inventory logistics under non-stationary demand condition. Reliability Engineering and Service provides in-depth chapter coverage of topics such as: Reliability Concepts and Models; Mean and Variance of Reliability Estimates; Design for Reliability; Reliability Growth Planning; Accelerated Life Testing and Its Economics; Renewal Theory and Superimposed Renewals; Maintenance and Performance-Based Logistics; Warranty Service Models; Basic Spare Parts Inventory Models; Repairable Inventory Systems; Integrated Product-Service Systems (IPPS), and Resilience Modeling and Planning Guides engineers to design reliable products at a low cost Assists service engineers in providing superior after-sales support Enables managers to respond to the changing market and customer needs Uses end-of-chapter case studies to illustrate industry best practice Lifecycle approach to reliability, maintenance and spares provisioning Reliability Engineering and Service is an important book for graduate engineering students, researchers, and industry-based reliability practitioners and consultants.

The necessity of expertise for tackling the complicated and multidisciplinary issues of safety and risk has slowly permeated into all engineering applications so that risk analysis and management has gained a relevant role, both as a tool in support of plant design and as an indispensable means for emergency planning in accidental situations. This entails the acquisition of appropriate reliability modeling and risk analysis tools to complement the basic and specific engineering knowledge for the technological area of application.Aimed at providing an organic view of the subject, this book provides an introduction to the principal concepts and issues related to the safety of modern industrial activities. It also illustrates the classical techniques for reliability analysis and risk assessment used in current practice.

Why suppose that sense perception is an accurate source of information about the physical environment? More generally, is it possible to demonstrate that our basic ways of forming beliefs are reliable? In this book, a leading analytic philosopher confronts this classic problem through detailed investigation of sense perception, the source of beliefs in which we place the most confidence. Carefully assessing the available arguments, William P. Alston concludes that it is not possible to show in any noncircular way that sense perception is a reliable source of beliefs. Alston thoroughly examines the main arguments that have been advanced for the reliability of sense perception, including arguments from the various kinds of success we achieve by relying on the sense perception, arguments that some features of our sense experience are best explained by supposing that it is an accurate guide, and arguments that there is something conceptually incoherent about the idea that sense perception is not reliable. He concludes that all of these arguments that are not disqualified in other ways are epistemically circular, for they use premises based upon the very source in question. Alston then suggest that the most appropriate response to the impossibility of showing that our basic sources of beliefs are reliable is an appeal to the practical rationality of engaging in certain socially established belief-forming practices. The Reliability of Sense Perception will be welcome by epistemologists, cognitive scientists, and philosophers of science.

This book gives a practical guide for designers and users in Information and Communication Technology context. In particular, in the first Section, the definition of the fundamental terms according to the international standards are given. Then, some theoretical concepts and reliability models are presented in Chapters 2 and 3: the aim is to evaluate performance for components and systems and reliability growth. Chapter 4, by introducing the laboratory tests, puts in evidence the reliability concept from the experimental point of view. In ICT context, the failure rate for a given system can be evaluate by means of specific reliability prediction handbooks; this aspect is considered in Chapter 5, with practical applications. In Chapters 6, 7 and 8, the more complex aspects regarding both the Maintainability, Availability and Dependability are taken into account; in particular, some fundamental techniques such as FMECA (Failure Mode, Effects, and Criticality Analysis) and FTA (Fault Tree Analysis) are presented with examples for reparable systems.

This book has been written with the intention to fill two big gaps in the reliability and risk literature: the risk-based reliability analysis as a powerful alternative to the traditional reliability analysis and the generic principles for reducing technical risk. An important theme in the book is the generic principles and techniques for reducing technical risk. These have been classified into three major categories: preventive (reducing the likelihood of failure), protective (reducing the consequences from failure) and dual (reducing both, the likelihood and the consequences from failure). Many of these principles (for example: avoiding clustering of events, deliberately introducing weak links, reducing sensitivity, introducing changes with opposite sign, etc.) are discussed in the reliability literature for the first time. Significant space has been allocated to component reliability. In the last chapter of the book, several applications are discussed of a powerful equation which constitutes the core of a new theory of locally initiated component failure by flaws whose number is a random variable. - Offers a shift in the existing paradigm for conducting reliability analyses - Covers risk-based reliability analysis and generic principles for reducing risk - Provides a new measure of risk based on the distribution of the potential losses from failure as well as the basic principles for risk-based design - Incorporates fast algorithms for system reliability analysis and discrete-event simulators - Includes the probability of failure of a structure with complex shape expressed with a simple equation

Unique in its approach, Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo provides a brief introduction to Monte Carlo methods along with a concise exposition of reliability theory ideas. From there, the text investigates a collection of principal network reliability models, such as terminal connectivity for networks with unre