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High reliability, maintainability, and safety are expected from complex equipment and systems. To build these characteristics into an item, failure rate and failure mode analyses have to be performed early in the design phase, starting at the com ponent level, and have to be supported by a set of design guidelines for reliability and maintainability as well as by extensive design reviews. Before production, qualification tests of prototypes must ensure that quality and reliability targets have been reached. In the production phase, processes and procedures have to be selec ted and monitored to assure the required quality level. For many systems, availabi lity requirements must also be satisfied. In these cases, stochastic processes can be used to investigate and optimize availability, including logistical support. This book presents the state of the art of the methods and procedures necessary for a cost and time effective quality and reliability assurance during the design and production of equipment and systems. It takes into consideration that: 1. Quality and reliability assurance of complex equipment and systems requires that all engineers involved in a project undertake a set of specific activities from the definition to the operating phase, which are performed concurrently to achieve the best performance, quality, and reliability for given cost and time schedule targets.
Written by one of the foremost authorities on the subject, the Second Edition is completely revised to reflect the latest changes to the ASQ Body of Knowledge for the Certified Quality Engineer (CQE). This handbook covers every essential topic required by the quality engineer for day-to-day practices in planning, testing, finance, and management and thoroughly examines and defines the principles and benefits of Six Sigma management and organization. The Quality Engineering Handbook provides new and expanded sections on management systems, leadership and facilitation principles and techniques, training, customer relations, documentation systems, domestic and international standards, and more.
Due to global competition, safety regulations, and other factors, manufacturers are increasingly pressed to create products that are safe, highly reliable, and of high quality. Engineers and quality assurance professionals need a cross-disciplinary understanding of these topics in order to ensure high standards in the design and manufacturing proce
Using clear language, this book shows you how to build in, evaluate, and demonstrate reliability and availability of components, equipment, and systems. It presents the state of the art in theory and practice, and is based on the author's 30 years' experience, half in industry and half as professor of reliability engineering at the ETH, Zurich. In this extended edition, new models and considerations have been added for reliability data analysis and fault tolerant reconfigurable repairable systems including reward and frequency / duration aspects. New design rules for imperfect switching, incomplete coverage, items with more than 2 states, and phased-mission systems, as well as a Monte Carlo approach useful for rare events are given. Trends in quality management are outlined. Methods and tools are given in such a way that they can be tailored to cover different reliability requirement levels and be used to investigate safety as well. The book contains a large number of tables, figures, and examples to support the practical aspects.
Quality and reliability are central to success in every discipline, but perhaps nowhere are they more important or more interconnected than in the practice of analytical chemistry. Here, although reliable analytical information implies quality, not all "quality" information proves reliable. Quality and Reliability in Analytical Chemistry examine
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.
The aim of this book is to provide a platform to academicians, practitioners, and researchers to understand current and future trends in software reliability growth modeling. Emphasis will be on qualitative work relevant to the theme with particular importance given to mathematical modeling for software reliability and various methods and applications of multi attributed decision making in governing the software performance. Presents software quality and security models Offers reliability analysis, assurance techniques for software systems Covers methodologies, tools, and practical applications of software reliability modeling and testing resources Includes robust reliability design techniques, diagnostic, and decision support Discusses stochastic modelling for software systems
27 Required function (mission profile) • Set up the reliability block diagram FMEA where (RBD), by performing a redundancy appears Eliminate reliability weaknesses • Determine the component stresses • component/material selection • Compute the failure rate Ai of each • derating component • screening • Compute R(t) at the assembly level • redundancy • Check the fulfillment of reliability design rules • Perform a preliminary design review no yes Go to the next assembly or to the next integration level Figure 2. 1 Reliability analysis procedure at assembly level Taking account of the above considerations, Fig. 2. 1 shows the reliability analysis procedure used in practical applications at assembly level. The proce dure of Fig. 2. 1 is based on the part stress method discussed in Section 2. 2. 4 (see Section 2. 2. 7 for the part count method). Also included are a failure modes and effect analysis (FMEA/FMECA), to check the validity of the assumed failure modes, and a verification of the adherence to design guidelines for relia bility in a preliminary design review (Section 5. 1, Appendices A3. 3. 5 & A4). Verification of the assumed failure modes is mandatory where redundancy appears, in particular because of the series element in the reliability block diagram (see for instance Example 2. 6, Sections 2. 3. 6 for elements with more than one failure mode & 6. 8. 7 for common cause failures, and Figs. 2. 8- 2. 9 & 6. 17- 6.