Integrated Reliable And Robust Design

"The objective of this research is to develop an integrated design methodology for reliability and robustness. Reliability-based design (RBD) and robust design (RD) are important to obtain optimal design characterized by low probability of failure and minimum performance variations respectively. But performing both RBD and RD in a product design may be conflicting and time consuming. An integrated design model is needed to achieve both reliability and robustness simultaneously. The purpose of this thesis is to integrate reliability and robustness. To achieve this objective, we first study the general relationship between reliability and robustness. Then we perform a numerical study on the relationship between reliability and robustness, by combining the reliability based design, robust design, multi objective optimization and Taguchi's quality loss function to formulate an integrated design model. This integrated model gives reliable and robust optimum design values by minimizing the probability of failure and quality loss function of the design simultaneously. Based on the results from the numerical study, we propose a generalized quality loss function that considers both the safe region and the failure region. Taguchi's quality loss function defines quality loss in the safe design region and risk function defines quality loss in the failure region. This integrated model achieves reliability and robustness by minimizing the general quality loss function of the design. Example problems show that this methodology is computationally efficient compared to the other optimization models. Results from the various examples suggest that this method can be efficiently used to minimize the probability of failure and the total quality loss of a design simultaneously"--Abstract, p. iii

Based on deep theoretical as well as practical experience in Reliability and Quality Sciences, Robust Design Methodology for Reliability constructively addresses practical reliability problems. It offers a comprehensive design theory for reliability, utilizing robust design methodology and six sigma frameworks. In particular, the relation between un-reliability and variation and uncertainty is explored and reliability improvement measures in early product development stages are suggested. Many companies today utilise design for Six Sigma (DfSS) for strategic improvement of the design process, but often without explicitly describing the reliability perspective; this book explains how reliability design can relate to and work with DfSS and illustrates this with real–world problems. The contributors advocate designing for robustness, i.e. insensitivity to variation in the early stages of product design development. Methods for rational treatment of uncertainties in model assumptions are also presented. This book promotes a new approach to reliability thinking that addresses the design process and proneness to failure in the design phase via sensitivity to variation and uncertainty; includes contributions from both academics and industry practitioners with a broad scope of expertise, including quality science, mathematical statistics and reliability engineering; takes the innovative approach of promoting the study of variation and uncertainty as a basis for reliability work; includes case studies and illustrative examples that translate the theory into practice. Robust Design Methodology for Reliability provides a starting point for new thinking in practical reliability improvement work that will appeal to advanced designers and reliability specialists in academia and industry including fatigue engineers, product development and process/ quality professionals, especially those interested in and/ or using the DfSS framework.

Consider a Viable and Cost-Effective Platform for the Industries of the Future (IOF)Benefit from improved safety, performance, and product deliveries to your customers. Achieve a higher rate of equipment availability, performance, product quality, and reliability. Integrated Reliability: Condition Monitoring and Maintenance of Equipment incorporate

Increasing demand on improving the resiliency of modern structures and infrastructure requires ever more critical and complex designs. Therefore, the need for accurate and efficient approaches to assess uncertainties in loads, geometry, material properties, manufacturing processes, and operational environments has increased significantly. Reliability-based techniques help develop more accurate initial guidance for robust design and help to identify the sources of significant uncertainty in structural systems. Reliability-Based Analysis and Design of Structures and Infrastructure presents an overview of the methods of classical reliability analysis and design most associated with structural reliability. It also introduces more modern methods and advancements, and emphasizes the most useful methods and techniques used in reliability and risk studies, while elaborating their practical applications and limitations rather than detailed derivations. Features: Provides a practical and comprehensive overview of reliability and risk analysis and design techniques. Introduces resilient and smart structures/infrastructure that will lead to more reliable and sustainable societies. Considers loss elimination, risk management and life-cycle asset management as related to infrastructure projects. Introduces probability theory, statistical methods, and reliability analysis methods. Reliability-Based Analysis and Design of Structures and Infrastructure is suitable for researchers and practicing engineers, as well as upper-level students taking related courses in structural reliability analysis and design.

ASQ 2007 CROSBY MEDAL WINNER! An Integrated Technology for Delivering Better Software—Cheaper and Faster! This book presents an integrated technology, Design for Trustworthy Software (DFTS), to address software quality issues upstream such that the goal of software quality becomes that of preventing bugs in implementation rather than finding and eliminating them during and after implementation. The thrust of the technology is that major quality deployments take place before a single line of code is written! This customer-oriented integrated technology can help deliver breakthrough results in cost, quality, and delivery schedule thus meeting and exceeding customer expectations. The authors describe the principles behind the technology as well as their applications to actual software design problems. They present illustrative case studies covering various aspects of DFTS technology including CoSQ, AHP, TRIZ, FMEA, QFD, and Taguchi Methods and provide ample questions and exercises to test the readers understanding of the material in addition to detailed examples of the applications of the technology. The book can be used to impart organization-wide learning including training for DFTS Black Belts and Master Black Belts. It helps you gain rapid mastery, so you can deploy DFTS Technology quickly and successfully. Learn how to • Plan, build, maintain, and improve your trustworthy software development system • Adapt best practices of quality, leadership, learning, and management for the unique software development milieu • Listen to the customer’s voice, then guide user expectations to realizable, reliable software products • Refocus on customer-centered issues such as reliability, dependability, availability, and upgradeability • Encourage greater design creativity and innovation • Validate, verify, test, evaluate, integrate, and maintain software for trustworthiness • Analyze the financial impact of software quality • Prepare your leadership and infrastructure for DFTS Design for Trustworthy Software will help you improve quality whether you develop in-house, outsource, consult, or provide support. It offers breakthrough solutions for the entire spectrum of software and quality professionals—from developers to project leaders, chief software architects to customers. The American Society for Quality (ASQ) is the world's leading authority on quality which provides a community that advances learning, quality improvement, and knowledge exchange to improve business results, and to create better workplaces and communities worldwide. The Crosby Medal is presented to the individual who has authored a distinguished book contributing significantly to the extension of the philosophy and application of the principles, methods, or techniques of quality management. Bijay K. Jayaswal, CEO of Agilenty Consulting Group, has held senior executive positions and consulted on quality and strategy for 25 years. His expertise includes value engineering, process improvement, and product development. He has directed MBA and Advanced Management programs, and helped to introduce enterprise-wide reengineering and Six Sigma initiatives. Dr. Peter C. Patton, Chairman of Agilenty Consulting Group, is Professor of Quantitative Methods and Computer Science at the University of St. Thomas. He served as CIO of the University of Pennsylvania and CTO at Lawson Software, and has been involved with software development since 1955.

NEXT GENERATION HALT AND HASS ROBUST DESIGN OF ELECTRONICS AND SYSTEMS A NEW APPROACH TO DISCOVERING AND CORRECTING SYSTEMS RELIABILITY RISKS Next Generation HALT and HASS presents a major paradigm shift from reliability prediction-based methods to discovery of electronic systems reliability risks. This is achieved by integrating highly accelerated life test (HALT) and highly accelerated stress screen (HASS) into a physics of failure based robust product and process development methodology. The new methodologies challenge misleading and sometimes costly misapplication of probabilistic failure prediction methods (FPM) and provide a new deterministic map for reliability development. The authors clearly explain the new approach with a logical progression of problem statement and solutions. The book helps engineers employ HALT and HASS by demonstrating why the misleading assumptions used for FPM are invalid. Next, the application of HALT and HASS empirical discovery methods to quickly find unreliable elements in electronics systems gives readers practical insight into the techniques. The physics of HALT and HASS methodologies are highlighted, illustrating how they uncover and isolate software failures due to hardware–software interactions in digital systems. The use of empirical operational stress limits for the development of future tools and reliability discriminators is described. Key features: Provides a clear basis for moving from statistical reliability prediction models to practical methods of insuring and improving reliability. Challenges existing failure prediction methodologies by highlighting their limitations using real field data. Explains a practical approach to why and how HALT and HASS are applied to electronics and electromechanical systems. Presents opportunities to develop reliability test discriminators for prognostics using empirical stress limits. Guides engineers and managers on the benefits of the deterministic and more efficient methods of HALT and HASS. Integrates the empirical limit discovery methods of HALT and HASS into a physics of failure based robust product and process development process.

Collection of papers from the "Reliability & Robust Design in Automotive Engineering" session of the SAE 2006 World Congress, held April 3-6 in Detroit, Michigan.

This book presents recent advances in the integration and the optimization of product design and manufacturing systems. The book is divided into 3 chapters corresponding to the following three main topics : - optimization of product design process (mechanical design process, mass customization, modeling the product representation, computer support for engineering design, support systems for tolerancing, simulation and optimization tools for structures and for mechanisms and robots), -optimization of manufacturing systems (multi-criteria optimization and fuzzy volumes, tooth path generation, machine-tools behavior, surface integrity and precision, process simulation), - methodological aspects of integrated design and manufacturing (solid modeling, collaborative tools and knowledge formalization, integrating product and process design and innovation, robust and reliable design, multi-agent approach in VR environment). The present book is of interest to engineers, researchers, academic staff, and postgraduate students interested in integrated design and manufacturing in mechanical engineering.

The first book to integrate axiomatic design and robust design fora comprehensive quality approach As the adoption of quality methods grows across various industries,its implementation is challenged by situations where statisticaltools are inadequate, yet the earlier a proactive quality system isintroduced into a given process, the greater the payback thesemethods will yield. Axiomatic Quality brings together two well-established theories,axiomatic design and robust design, to eliminate or reduce bothconceptual and operational weaknesses. Providing a completeframework for immediate implementation, this book guides designteams in producing systems that operate at high-quality levels foreach of their design requirements. And it shows the way towardsachieving the Six-Sigma target--six times the standard deviationcontained between the target and each side of the specificationlimits--for each requirement. This book develops an aggressive axiomatic quality approachthat: * Provides the tools to reduce conceptual weaknesses of systemsusing a framework called the conceptual design for capability * Reduces operational weaknesses of systems in terms of qualitylosses and control costs * Uses mathematical relationships to bridge the gap betweenscience-based engineering and quality methods Acclaro DFSS Light, a Java-based software package that implementsaxiomatic design processes, is available for download from a Wileyftp site. Acclaro DFSS Light is a software product of AxiomaticDesign Solutions, Inc. Laying out a comprehensive approach while working through eachaspect of its implementation, Axiomatic Quality is an essentialresource for managers, engineers, and other professionals who wantto successfully deploy the most advanced methodology to tacklesystem weaknesses and improve quality.

Integrated Disaster Science and Management: Global Case Studies in Mitigation and Recovery bridges the gap between scientific research on natural disasters and the practice of disaster management. It examines natural hazards, including earthquakes, landslides and tsunamis, and uses integrated disaster management techniques, quantitative methods and big data analytics to create early warning models to mitigate impacts of these hazards and reduce the risk of disaster. It also looks at mitigation as part of the recovery process after a disaster, as in the case of the Nepal earthquake. Edited by global experts in disaster management and engineering, the book offers case studies that focus on the critical phases of disaster management. Identifies advanced techniques and models based on natural disaster science for forecasting disasters and analyzing risk Offers a holistic approach to the problem of disaster management, including preparation, recovery, and resilience Includes coverage of social, economic, and environmental impacts on disasters