Wallace R. Blischke / D. N. Prabhakar Murthy
Reliability: Modeling, Prediction, and Optimization
ISBN: 0-471-18450-0
Hardcover
Pages: 820
Published: Mar 2000
Copyright: 2000
Imprint: Wiley-Interscience
Bringing together business and engineering to reliability analysis.
With manufactured products exploding in numbers and complexity, reliability studies play an increasingly critical role throughout a product entire life cycle rom design to post-sale support. Reliability: Modeling, Prediction, and Optimization presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability, integrating concepts and methodologies from such diverse areas as engineering, materials science, statistics, probability, operations research, and management. Written in plain
language by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems.
A wealth of examples and case studies accompanies: Comprehensive coverage of assessment, prediction, and improvement at each stage of a product life cycle Clear explanations of modeling and analysis for hardware ranging from a single part to whole systems Thorough coverage of test design and statistical analysis of reliability data A special chapter on software reliability Coverage of effective management of reliability, product support, testing, pricing, and related topics Lists of sources for technical information, data, and computer programs Hundreds of graphs, charts, and tables, as well as over 500 references
Subject:
Statistics / Applied Probability & Statistics / Industrial/Financial/Engineering
Series Title:
Wiley Series in Probability and Mathematical Statistics - Applied Probability and Statistics Section
Steven E. Rigdon / Asit P. Basu
Statistical Methods for the Reliability of Repairable Systems
ISBN: 0-471-34941-0
Hardcover
Pages: 290
Published: Mar 2000
Copyright: 2000
Imprint: Wiley-Interscience
A unique, practical guide for industry professionals who need to improve product quality and reliability in repairable systems
Owing to its vital role in product quality, reliability has been intensely studied in recent decades. Most of this research, however, addresses systems that are nonrepairable and therefore discarded upon failure. Statistical Methods for the Reliability of Repairable Systems fills the gap in the field, focusing exclusively on an important yet long-neglected area of reliability. Written by two highly recognized members of the reliability and statistics community, this new work offers a unique, systematic treatment of probabilistic models used for repairable systems as well as the statistical methods for analyzing data generated from them.
Liberally supplemented with examples as well as exercises boasting real data, the book clearly explains the difference between repairable and nonrepairable systems and helps readers develop an understanding of stochastic point processes. Data analysis methods are discussed for both single and multiple systems and include graphical methods, point estimation, interval estimation, hypothesis tests, goodness-of-fit tests, and reliability prediction. Complete with extensive graphs, tables, and references, Statistical Methods for the
Reliability of Repairable Systems is an excellent working resource for industry professionals involved in producing reliable systems and a handy reference for practitioners and researchers in the field.
Subject:
Statistics / Applied Probability & Statistics / Industrial/Financial/Engineering
Series Title:
Wiley Series in Probability and Mathematical Statistics - Applied Probability and Statistics Section
John Hooker (Carnegie Mellon Univ.)
Logic-Based Methods for Optimization
ISBN: 0-471-38521-2
Hardcover
Projected Pub Date: May 2000
Copyright: 2000
Imprint: Wiley-Interscience
While recent efforts to combine optimization and constraint satisfaction have received considerable attention, little has been said about using logic in optimization as the key to unifying the two fields. Logic-Based Methods for Optimization develops for the first time a comprehensive conceptual framework for integrating optimization and constraint satisfaction, then goes a step further and shows how extending logical inference to optimization allows for more powerful as well as flexible modeling and solution techniques.
Contents
Some Examples.
The Logic of Propositions.
The Logic of Discrete Variables.
The Logic of 0-1 Inequalities.
Cardinality Clauses.
Classical Boolean Methods.
Logic-Based Modeling.
Logic-Based Branch and Bound.
Constraint Generation.
Domain Reduction.
Constraint Programming.
Continuous Relaxations.
Decomposition Methods.
Branching Rules.
Relaxation Duality.
Inference Duality.
Search Strategies.
Logic-Based Benders Decomposition.
Nonserial Dynamic Programming.
Discrete Relaxations.
References.
Subject: Mathematics / Discrete Mathematics /
Series Title: Wiley-Interscience Series in Discrete Mathematics
Ali Hasan Nayfeh (Virginia Polytechnic Institute and State Univ., Blacksburg, Virginia)
Nonlinear Interactions: Analytical, Computational, and Experimental
ISBN: 0-471-17591-9
Hardcover
Projected Pub Date: Jun 2000
Copyright: 2000
Nonlinear Interactions provides a coherent and unified treatment of analytical, computational, and experimental methods and concepts of modal interactions. This book is an obvious extension of Ali Nayfeh's well-known book Applied Nonlinear Dynamics (with Bala Balachandran). These methods are used to explore and unfold in a unified manner the fascinating complexities in nonlinear dynamical systems. The systems discussed are drawn from fluid mechanics and structural dynamics.
Nonlinear interactions between high-frequency and low-frequency modes are of great practical importance. Through the mechanisms discussed in this book, energy from high-frequency sources can be transferred to the low-frequency modes of supporting structures and foundations, and the result can be harmful large-amplitude oscillations that decrease their fatigue lives. On the other hand, these mechanisms can be exploited to transfer the energy from a system to a sacrificial subsystem and hence decrease considerably the vibrations of the main system and increase its fatigue life.
Subject: Physics / Mathematical Physics / Nonlinear Physics
Series Title: Wiley Series in Nonlinear Science