Kategoria BISAC: Technology & Engineering >> Quality Control

While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Over the past several decades, their efforts have yielded highly evolved statistical models that have proven to be especially valuable in the estimation of reliability based upon tests of individual units of systems. Now Statistical Reliability Engineering affords engineers a unique opportunity to learn both the theory behind and applications of those statistical methods. Statistical Reliability...

Design of Experiments (DOE) is defined as, The planned, structured and organized observation of two or more input/independent variables and their effect on the output/dependent variable(s) under study. DOE is accomplished using statistics to analyze and predict the changes to the results of the experiment in question, most of which are highly mathematical and theoretical.

Everything you need to design, implement, and manage a successful QFD program The QFD Handbook is a total how-to guide for companies planning to initiate a QFD program as well as those that already have one in place. Over the course of 23 contributed chapters, organized according to subject area, this book tutors managers and engineers in basic and advanced QFD principles and practices. Among more advanced topics covered are Taguchi methods, FMEA, TRIZ, and Business Process Reengineering. In addition to traditional application areas, you will find in-depth discussions of QFD in ISO 9000, QS...

A guide to achieving business successes through statistical methods

Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance.

Written by a recognized educator in the field, Statistical Methods for Six Sigma: In R&D and Manufacturing is specifically geared to engineers, scientists, technical managers, and other technical professionals in industry. Emphasizing practical...

A groundbreaking book based on a landmark quality initiative

In today's information-driven enterprises, accuracy is essential in computer-integrated measurement and control systems, where academia, government, and industry invest considerable resources in methodologies for achieving and maintaining high performance. Multisensor Instrumentation 6σ Design offers a blueprint-drawn from the author's thirty years of experience at federal laboratories, steel producers, and General Electric-for defined-accuracy computer-based measurement and control instrumentation....

Contemporary management concepts, methods, and techniques for global, high-technology industries

The rapidly changing shape of technology industries requires a constant reevaluation of what it takes to manage such sophisticated corporations effectively. Management for Quality in High-Technology Enterprises explains how traditional "hard" management skills must be combined with new "soft" skills, why an expanding, global market necessitates an expanding, global mindset, and why a "focus on customers" must dominate all aspects of business.

Momentous external and...

With the growing complexity of engineered systems, reliability has increased in importance throughout the twentieth century. Initially developed to meet practical needs, reliability theory has become an applied mathematical discipline that permits a priori evaluations of various reliability indices at the design stages. These evaluations help engineers choose an optimal system structure, improve methods of maintenance, and estimate the reliability on the basis of special testing. Probabilistic Reliability Engineering focuses on the creation of mathematical models for solving problems of...

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...

The first complete guide to using the Stochastic Finite Element Method for reliability assessment
Unlike other analytical reliability estimation techniques, the Stochastic Finite Element Method (SFEM) can be used for both implicit and explicit performance functions, making it a particularly powerful and robust tool for today's engineer. This book, written by two pioneers in SFEM-based methodologies, shows how to use SFEM for the reliability analysis of a wide range of structures.
It begins by reviewing essential risk concepts, currently available risk evaluation procedures, and the...

"This book is a great demonstration of this powerful approach and how it can make a meaningful difference in any type of business. It takes a dedicated engineering approach to implement, but the payback in customer satisfaction and growth is dramatic."
--Lou Giuliano, chairman, president, and CEO, ITT Industries

No other single volume presents the full breadth of founding beliefs behind the successful engineering practices used by today's leading companies. Helpful to companies in both manufacturing and service industries, Taguchi's Quality Engineering Handbook provides...

Introducing a groundbreaking companion book to a bestselling reliability text

Reliability is one of the most important characteristics defining the quality of a product or system, both for the manufacturer and the purchaser. One achieves high reliability through careful monitoring of design, materials and other input, production, quality assurance efforts, ongoing maintenance, and a variety of related decisions and activities. All of these factors must be considered in determining the costs of production, purchase, and ownership of a product.

Case Studies in Reliability...

A comprehensive presentation of control theory for the SPC community
Quality control has become a major concern in today's competitive industrial environment, and industrial engineers are constantly seeking to make process adjustments that will optimize production efficiency and improve product quality. Statistical Process Adjustment for Quality Control fills the need for a comprehensive presentation of control theory at the elementary level, focusing on statistical methods used in process adjustment (Engineering Process Control Methods or EPC) and their relation to the classical...

"A thoughtful, complete, and very readable approach to robust engineering. It presents insights that correlate with those learned at Ford while developing and executing Design for Six Sigma. Having this book three years ago could've helped with that effort."-David Amos, DFSS Deployment Director, Ford Motor Company

Written by Anna C. Thornton, the well-known author who coined the phrase "variation risk management," this comprehensive book presents new methods and implementation strategies based on her research of industry practices and her personal experience with such companies as The...

Grasp the basics of reliability techniques in engineering design

With an emphasis on the problem of quantifying reliability in product design and testing, Reliability in Engineering Design provides a complete overview of the topic. Beginning with an introduction to reliability, the text then proceeds in a logical manner through related, relevant topics. Discussed at length are terms and measures used in reliability testing, static reliability models, probabilistic approaches to design reliability, analysis of complex systems, and obtaining reliability estimates from...

Handbook for the computation and empirical estimation of reliability. Introduces an incomparable volume of easily applicable, cutting-edge results originated by prominent Russian reliability specialists. Completely covers probabilistic reliability, statistical reliability and optimization with simple, step-by-step, numerical examples."

Gets professionals quickly on-line with all the crucial design concepts and skills they need to dramatically improve the maintainability of their products or systems

Maintainability is a practical, step-by-step guide to implementing a comprehensive maintainability program within your organization's design and development function. From program scheduling, organizational interfacing, cost estimating, and supplier activities, to maintainability prediction, task analysis, formal design review, and maintainability tests and demonstrations, it describes all the planning and...

A valuable reference in life data analysis research. Your practical guide to statistical methods for predicting product life and reliability and comparing improvements in product manufacturing, design, and application. Describes the use of graphical methods, the method of maximum likelihood, censored data analysis, linear estimation, prediction methods, and methods for complete, singly censored, multiply censored, interval, and quantalresponse data. Techniques are illustrated with step - by - step, real - data numerical examples. This paperback edition features a new preface and includes a...

As the Lead Reliability Engineer for Ford Motor Company, Guangbin Yang is involved with all aspects of the design and production of complex automotive systems. Focusing on real-world problems and solutions, Life Cycle Reliability Engineering covers the gamut of the techniques used for reliability assurance throughout a product's life cycle. Yang pulls real-world examples from his work and other industries to explain the methods of robust design (designing reliability into a product or system ahead of time), statistical and real product testing, software testing, and ultimately verification...

Part of a two-volume work which presents the methods and techniques used to assess and measure the dependability of industrial systems, this book provides definitions of the main concepts of predictive analysis. It defines preliminary hazard analysis, failure modes and effects analysis.