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Søren Bisgaards Contributions To Quality Engineering
Søren Bisgaard was an extremely productive and insightful scholar of modern industrial statistics and quality engineering. He was amazing for both his breadth of interests and the depth of his scholarship. Søren was one of the very few people making substantial contributions in so many basic areas in statistics and quality engineering. This compilation collects 31 of his works and is divided into four broad areas: Design and Analysis of ExperimentsTime Series AnalysisThe Quality ProfessionHealthcare Engineering This book provides a comprehensive coverage of essential statistical methods for the 2k-p factorial system and shows the basic principles of time series analysis through examples. Furthermore, this book presents the connection between the application of the scientific method and quality improvement, and it points out the importance of quality improvement to tangible financial results. Finally, this book explains the seemingly paradoxical idea that we can enhance quality while reducing cost of healthcare.
Solutions to the Healthcare Quality Crisis
Healthcare around the world is in crisis as a result of complex structural and strategic problems that will require solutions at a very high level. This book demonstrates that effective solutions based on modern quality management principles can be applied to alleviate many problems locally within healthcare institutions. It is designed to support doctors, nurses, technicians, and administrators who are interested in applying quality management principles and the tools of Lean Six Sigma to improve healthcare within their own institutions. The book should also be of interest to politicians, policy makers and government officials wrestling with healthcare issues. The book presents a wide selec...
Statistical Practice in Business and Industry
This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics. Methods range from basic graphical approaches to generalised modelling, from designed experiments to process control. Solutions cover produce and process design, through manufacture to packaging and delivery, from single responses to multivariate problems.
Statistical Process Control in Industry
During the past decade interest in quality management has greatly increased. One of the central elements of Total Quality Management is Statistical Process Control, more commonly known as SPC. This book describes the pitfalls and traps which businesses encounter when implementing and assuring SPC. Illustrations are given from practical experience in various companies. The following subjects are discussed: implementation of SPC, activity plan for achieving statistically controlled processes, statistical tools, and lastly, consolidation and improvement of the results. Also, an extensive checklist is provided with which a business can determine to what extent it has succeeded in the actual appl...
Measuring the Software Process
"While it is usually helpful to launch improvement programs, many such programs soon get bogged down in detail. They either address the wrong problems, or they keep beating on the same solutions, wondering why things don't improve. This is when you need an objective way to look at the problems. This is the time to get some data." Watts S. Humphrey, from the Foreword This book, drawing on work done at the Software Engineering Institute and other organizations, shows how to use measurements to manage and improve software processes. The authors explain specifically how quality characteristics of software products and processes can be quantified, plotted, and analyzed so the performance of softw...
The Certified Reliability Engineer Handbook
A comprehensive reference manual to the Certified Reliability Engineer Body of Knowledge and study guide for the CRE exam.
Process Variability Control Procedures
Globalization and technological advances have created very competitive environment in industries. As such, producers are keen to produce very high standard products and good efforts are put in to make further improvement in the quality. Statistical process control (SPC) is commonly used as a tool in improving product quality through the achievement of process stability and capability. Generally there are two types of variations in the process assignable cause variations and special cause variation. An important objective of SPC is to detect quickly the occurrence of assignable causes of process variation, so that the process can be investigated and any required corrective action can be taken before many nonconforming units are manufactured.
Operational Excellence with Lean Six Sigma
Lean Six Sigma is the global standard for organizing the design, data-based improvement and control of business processes. Well-designed and controlled processes are key in achieving and sustaining operational excellence. They ensure the quality of service and care, the reliability and safety of work that is done, and a timely processing with short waiting times. High quality processes will at the same time improve the operation’s flexibility. Thereby allowing one to adjust to changes in demand and other circumstances. An organizational capability to harness data-based process improvement, finally, facilitates organizational learning and is foundational for the fruitful implementation of e...
Lean Six Sigma Approaches in Manufacturing, Services, and Production
"This book presents emerging research-based trends in the area of global quality lean six sigma networks and analysis through an interdisciplinary approach focusing on research, cases, and emerging technologies"--Provided by publisher.
