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Author: Naresh Kumar Sharma Publisher: ISBN: Category : Multivariate analysis Languages : en Pages : 442
Book Description
"This dissertation develops from quality loss function to warranty loss function in which customer expectation is also considered to be a variable. First, Taguchi's quality loss function for the larger-the-better case, which is different from the smaller-the better and nominal-the-best cases, has been assimilated into the other two by introducing a term called the target-mean ratio. Further topics addressed include the implications of a finite target on the classification of LTB characteristics, a new concept of a "Complementary Characteristic", operating window, complexity, and SN ratio based on complexity. A warranty is a buyer's confidence owing to the seller's assurance to the buyer that a product will perform as stated or implied. The quality loss function only accounts for immediate issues within manufacturing facilities, whereas the warranty cost occurs during customer use. Therefore, this dissertation develops a methodology that can predict warranty probability and warranty costs on the basis of customer expectation in addition to product performance for smaller-the-better, nominal-the-best, and larger-the-better cases. In robust engineering, the signal-to-noise ratio is used to improve the robustness of a system. Most products and processes have multiple quality characteristics or output responses. Therefore, this research has been conducted to propose a metric that can be used for multi-response experiments for minimizing quality loss and improving robustness at the same time. The methodology proposed incorporates all three types of characteristics smaller-the-better, nominal-the-best, and larger-the-better and is based on components of quality loss"--Abstract, leaf iii.
Author: Naresh Kumar Sharma Publisher: ISBN: Category : Multivariate analysis Languages : en Pages : 442
Book Description
"This dissertation develops from quality loss function to warranty loss function in which customer expectation is also considered to be a variable. First, Taguchi's quality loss function for the larger-the-better case, which is different from the smaller-the better and nominal-the-best cases, has been assimilated into the other two by introducing a term called the target-mean ratio. Further topics addressed include the implications of a finite target on the classification of LTB characteristics, a new concept of a "Complementary Characteristic", operating window, complexity, and SN ratio based on complexity. A warranty is a buyer's confidence owing to the seller's assurance to the buyer that a product will perform as stated or implied. The quality loss function only accounts for immediate issues within manufacturing facilities, whereas the warranty cost occurs during customer use. Therefore, this dissertation develops a methodology that can predict warranty probability and warranty costs on the basis of customer expectation in addition to product performance for smaller-the-better, nominal-the-best, and larger-the-better cases. In robust engineering, the signal-to-noise ratio is used to improve the robustness of a system. Most products and processes have multiple quality characteristics or output responses. Therefore, this research has been conducted to propose a metric that can be used for multi-response experiments for minimizing quality loss and improving robustness at the same time. The methodology proposed incorporates all three types of characteristics smaller-the-better, nominal-the-best, and larger-the-better and is based on components of quality loss"--Abstract, leaf iii.
Author: Lev Klyatis Publisher: SAE International ISBN: 0768081769 Category : Technology & Engineering Languages : en Pages : 262
Book Description
The ability to successfully predict industrial product performance during service life provides benefits for producers and users. This book addresses methods to improve product quality, reliability, and durability during the product life cycle, along with methods to avoid costs that can negatively impact profitability plans. The methods presented can be applied to reducing risk in the research and design processes and integration with manufacturing methods to successfully predict product performance. This approach incorporates components that are based on simulations in the laboratory. The results are combined with in-field testing to determine degradation parameters. These approaches result in improvements to product quality, performance, safety, profitability, and customer satisfaction. Among the methods of analyses included are: • Accelerated Reliability Testing (ART) • Accelerated Durability Testing (ADT) • system variability / input variability • engineering risk versus time and expense
Author: Wallace Blischke Publisher: CRC Press ISBN: 9780824789114 Category : Technology & Engineering Languages : en Pages : 752
Book Description
Considers cost and optimization problems from the manufacturer's and the buyer's points of view. The work discusses a variety of warranty policies and the mathematical models for the analysis of related engineering and management issues. All standard consumer product warranties are covered.
Author: Bharatendra K. Rai Publisher: CRC Press ISBN: 9781439803257 Category : Business & Economics Languages : en Pages : 0
Book Description
Through simple, practical approaches, Reliability Analysis and Prediction with Warranty Data: Issues, Strategies, and Methods helps Six Sigma black belts and engineers successfully interpret warranty data to make accurate predictions. It discusses how to use this data to define and analyze field problems, provides guidelines for discovering the root causes for warranty cost reduction, and explores issues associated with warranty data and the approaches to overcome them. The first part of the book presents an introduction to reliability analysis and prediction using warranty data and highlights the issues involved. The second section offers strategies and methods for obtaining component-level nonparametric hazard rate estimates that provide important clues toward probable root causes and that help reduce warranty costs. Focusing on the prediction of warranty performance, the final part deals with methodologies that assess the impact of changes in warranty limits and forecast warranty performance. This user-friendly book shows how warranty data can support various levels of decision making to achieve reliable outcomes. Easily understood even for those with minimal statistical background, it includes objectives and summaries in each chapter to enable quick review of the topics.
Author: Lev Klyatis Publisher: ISBN: 9780768088625 Category : Reliability (Engineering) Languages : en Pages : 305
Book Description
The ability to successfully predict industrial product performance during service life provides benefits for producers and users. This book addresses methods to improve product quality, reliability, and durability during the product life cycle, along with methods to avoid costs that can negatively impact profitability plans. The methods presented can be applied to reducing risk in the research and design processes and integration with manufacturing methods to successfully predict product performance. This approach incorporates components that are based on simulations in the laboratory. The res.
Author: Sivakumar Sundar Publisher: ISBN: Category : New products Languages : en Pages : 138
Book Description
"In 2010, high tech industries including computer makers, peripherals manufacturers, and medical equipment manufacturers spent a total of $8 billion on warranty. Reducing warranty costs improves the manufacturer's profit and helps to reduce the overall cost of the product. An often cited principle is that approximately 80% of the eventual product cost is 'locked in' during the very early stages of product development, however, traditional methods of warranty analysis are not well suited to predict the warranty costs during these early stages. Thus, product development personnel need better tools to make good predictions about the warranty costs so that they can make better decisions to reduce warranty earlier in product development. In order to address this gap, previous research defined a warranty prediction framework, which at its core was a warranty event generation engine that integrated the disparate data sources available early in the product development process. The objective of this work was to create this event generation model, which would give the probability of occurrence for a warranty event, given the length of time of service for the system. The model developed in this work used different data sources, namely field data, product development data and engineering judgment data from our industrial partner. The datasets were then combined using a two-stage numerical Bayes method to predict the probability of occurrence of an event. Various test cases were created, by using the different datasets as priors and likelihoods. The results were then compared to actual field data set to understand how well the model performed. It was found that the model performed well and was able to produce a bounded solution. The future research agenda is to create a tool for product development professionals that will help them predict warranty costs."--Abstract.
Author: Seifedine Kadry Publisher: Springer ISBN: 331907167X Category : Science Languages : en Pages : 807
Book Description
This book offers unique insight on structural safety and reliability by combining computational methods that address multiphysics problems, involving multiple equations describing different physical phenomena and multiscale problems, involving discrete sub-problems that together describe important aspects of a system at multiple scales. The book examines a range of engineering domains and problems using dynamic analysis, nonlinear methods, error estimation, finite element analysis and other computational techniques. This book also: · Introduces novel numerical methods · Illustrates new practical applications · Examines recent engineering applications · Presents up-to-date theoretical results · Offers perspective relevant to a wide audience, including teaching faculty/graduate students, researchers and practicing engineers.
Author: Christopher White Publisher: William Andrew ISBN: 0323497772 Category : Technology & Engineering Languages : en Pages : 344
Book Description
Service Life Prediction of Polymers and Plastics Exposed to Outdoor Weathering discusses plastics and polymers and their unique applications, from sealants used in construction, to polymer composites used in planes. While these materials are important enablers for advanced technologies, exposure to weather changes the very properties of plastics that make them so useful. This book reviews current research needs and provides a consensus roadmap of the scientific barriers to validated predictive models for the response of polymers and plastics to outdoor exposure. Despite extensive efforts over the past 20-30 years, testing of polymeric materials in accelerated or natural weathering conditions and the interpretation of the weathering results still require substantial improvements. This book represents the state-of-the-art in the prediction techniques available and in development. Engineers and materials scientists working in this field will be able to use the content of this book to assess the strengths and challenges of a range of different methods and approaches. - Enables engineers and scientists in a range of industries to more successfully predict the durability of polymers, paints and coatings when exposed to weather - Provides the latest information to help determine the sustainability of polymeric materials - Reviews the current state-of-the-art in this area and identifies research needs that are followed by more detailed discussions of specific polymers and applications
Author: Michael G. Pecht Publisher: John Wiley & Sons ISBN: 1119515351 Category : Technology & Engineering Languages : en Pages : 973
Book Description
An indispensable guide for engineers and data scientists in design, testing, operation, manufacturing, and maintenance A road map to the current challenges and available opportunities for the research and development of Prognostics and Health Management (PHM), this important work covers all areas of electronics and explains how to: assess methods for damage estimation of components and systems due to field loading conditions assess the cost and benefits of prognostic implementations develop novel methods for in situ monitoring of products and systems in actual life-cycle conditions enable condition-based (predictive) maintenance increase system availability through an extension of maintenance cycles and/or timely repair actions; obtain knowledge of load history for future design, qualification, and root cause analysis reduce the occurrence of no fault found (NFF) subtract life-cycle costs of equipment from reduction in inspection costs, downtime, and inventory Prognostics and Health Management of Electronics also explains how to understand statistical techniques and machine learning methods used for diagnostics and prognostics. Using this valuable resource, electrical engineers, data scientists, and design engineers will be able to fully grasp the synergy between IoT, machine learning, and risk assessment.
Author: IMechE (Institution of Mechanical Engineers) Publisher: John Wiley & Sons ISBN: 9781860583872 Category : Mathematics Languages : en Pages : 292
Book Description
These IMechE conference transactions examine how major improvements have been made in product delivery processes by the effective use of both statistical and analytical methods, as well as examining the problems that can occur as a result of under utilization of information. This volume will be of great interest to managers, engineers, and statisticians at all levels, engaged in project management or the design and development of motor vehicles, their subsystems, and components. CONTENTS INCLUDE Applications of advanced modelling methods in engine development Application of adaptive online DoE techniques for engine ECU calibration Radial basis functions for engine modelling Designing for Six Sigma reliability Dimensional variation analysis for automotive hybrid aluminium body structures Reliability-based multidisciplinary design optimization of vehicle structures
Author: Naresh Kumar Sharma
Author: Naresh Kumar Sharma
Author: Lev Klyatis
Author: Wallace Blischke
Author: Bharatendra K. Rai
Author: Lev Klyatis
Author: Sivakumar Sundar
Author: Seifedine Kadry
Author: Christopher White
Author: Michael G. Pecht
Author: IMechE (Institution of Mechanical Engineers)