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This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process control and explores the role of knowledge-based systems in process control.
This work presents significant advances and new methods both in statistical process control and experimental design. It addresses the management of process monitoring and experimental design, discusses the relationship between control charting and hypothesis testing, provides a new index for process capability studies, offers practical guidelines for the design of experiments, and more.
An introduction and explanation of pragmatic methods and techniques for reliability and risk studies, and a discussion of their uses and limitations. It features computer software that illustrates numerous examples found in the book, offering to help engineers and students solve problems. There is a module on Bayesian estimation. The computer disk is written in Visual Basic and is compatible with Microsoft Excel spreadsheets.
This volume provides the understanding and the means needed to achieve complete systematic quality control of goods and services in any type of organisation. It also shows how to meet or exceed clients' quality expectations, structure management systems to encourage business growth and adapt to changing needs, ensure continuous quality improvement and increase efficiency and effectiveness. The book explains the theory of total quality and demonsrates its practical applications, elucidates the relationships among all company departments and their effects on pursuit of excellence and presents several powerful problem solving techniques. An essential resource for quality improvement, quality control, business, human resource and industrial engineering managers, chief executive officers of product and service orientated firms and graduates in these disciplines.
Explains how software reliability can be applied to software programs of all sizes, functions and languages, and businesses. This text provides real-life examples from industries such as defence engineering, and finance. It is aimed at software and quality assurance engineers and graduate students.
"Affords an advantageous understanding of contemporary management and total quality systems without excessive employment of advanced mathematics--directing managers in the implementation of the basic quality framework that will lead to improved production and increased profits through sound quality practices. Provides practical applications in a wide variety of industrial, financial, service, and administrative systems and shows how to prepare for quality audits, product meetings, and production discussions. Features 21 new chapters."
Providing a comprehensive approach to both the art and science of reliability engineering, this volume covers all aspects of the field, from basic concepts to accelerated testing, including SPC, designed experiments, human factors, and reliability management. It also presents the theory of reliability systems and its application as prescribed by industrial and government standards.
Provides a theoretical foundation as well as practical tools for the analysis of multivariate data, using case studies and MINITAB computer macros to illustrate basic and advanced quality control methods. This work offers an approach to quality control that relies on statistical tolerance regions, and discusses computer graphic analysis highlighting multivariate profile charts.
This book deals with the "hard skills" involved in achieving leadership quality. It provides a vehicle to foster interaction of the elements of the modern approach to quality, including statistical applications, quality and reliability engineering, management, and motivational aspects.