This two-volume set comprises the proceedings of the 2002 symposium concerned with innovation in the construction industry and global competition. Approximately 115 papers address topics ranging from business improvement to the impact of innovation on the built environment; and globalization and competitiveness.
This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four sections: statistics in the life and medical sciences, business and social science, the physical sciences and engineering, and theory and methods of statistics.
The authoritative guide to the effective design and production of reliable technology products, revised and updated While most manufacturers have mastered the process of producing quality products, product reliability, software quality and software security has lagged behind. The revised second edition of Improving Product Reliability and Software Quality offers a comprehensive and detailed guide to implementing a hardware reliability and software quality process for technology products. The authors – noted experts in the field – provide useful tools, forms and spreadsheets for executing an effective product reliability and software quality development process and explore proven software quality and product reliability concepts. The authors discuss why so many companies fail after attempting to implement or improve their product reliability and software quality program. They outline the critical steps for implementing a successful program. Success hinges on establishing a reliability lab, hiring the right people and implementing a reliability and software quality process that does the right things well and works well together. Designed to be accessible, the book contains a decision matrix for small, medium and large companies. Throughout the book, the authors describe the hardware reliability and software quality process as well as the tools and techniques needed for putting it in place. The concepts, ideas and material presented are appropriate for any organization. This updated second edition: Contains new chapters on Software tools, Software quality process and software security. Expands the FMEA section to include software fault trees and software FMEAs. Includes two new reliability tools to accelerate design maturity and reduce the risk of premature wearout. Contains new material on preventative maintenance, predictive maintenance and Prognostics and Health Management (PHM) to better manage repair cost and unscheduled downtime. Presents updated information on reliability modeling and hiring reliability and software engineers. Includes a comprehensive review of the reliability process from a multi-disciplinary viewpoint including new material on uprating and counterfeit components. Discusses aspects of competition, key quality and reliability concepts and presents the tools for implementation. Written for engineers, managers and consultants lacking a background in product reliability and software quality theory and statistics, the updated second edition of Improving Product Reliability and Software Quality explores all phases of the product life cycle.
This book contains precise descriptions of all of the many related six sigma methods. It also includes many case studies that detail how these methods have been applied in engineering and business to achieve millions of dollars of savings. This book will help readers to determine exactly which methods to apply in which situations and to predict how and when the methods might not be effective. Illustrative examples are provided for all the methods presented and exercises based on the case studies help build associations between techniques and industrial problems.
"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--
This comprehensive textbook is a basic reference which should be recommended to students and teachers in engineering, technology and management as well as to the whole community of professionals already working in quality-related areas. The book aims to be a step-by-step introduction to statistical quality assurance. It has been specifically designed for self-study and includes over 100 fully solved exercises and worked examples. In addition to traditional quality control procedures the book also presents very carefully elaborated results of recent research in order to encourage their adoption into practice.
This book explores different statistical quality technologies including recent advances and applications. Statistical process control, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality products and to reduce consumer and producer risks. Numerous statistical techniques and methodologies for quality control and improvement have been developed in recent years to help resolve current product quality issues in today’s fast changing environment. Featuring contributions from top experts in the field, this book covers three major topics: statistical process control, acceptance sampling plans, and reliability testing and designs. The topics covered in the book are timely and have a high potential impact and influence to academics, scholars, students and professionals in statistics, engineering, manufacturing and health.
This book is based on the author's advanced undergraduate or beginning graduate course, Computer Security and Reliability, which he has been teaching for the past six years. The author takes an index based quantitative approach to the subject as opposed to the usual verbal or qualitative or subjective case histories. The TWC-Solver, available on an accompanying CD-ROM, contains 10 java-coded, main applications and hundreds of subitems, and assists the reader in understanding the numerical implementations of the book chapters.
Lean Six Sigma is one of the operational excellence methodologies that has been widely adopted in manufacturing, service and healthcare sectors. There are few articles discussing Lean Six Sigma in the Higher Education context. This book is a collection of articles carefully edited by three academics and practitioners who are based in the Higher Education sector. The book contains state-of-the-art literature review articles, empirical studies, emerging trends on Lean Six Sigma in Higher Education and case study related papers.Lean Six Sigma for Higher Education caters to students, researchers and academics who are interested in understanding the rudimentary concepts of Lean Six Sigma. It also covers the challenges and barriers in implementation and sustenance of this powerful operational and service excellence methodology.
