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Author : Gerald Smith
Publisher : Macmillan College
Page : 600 pages
File Size : 52,7 Mb
Release : 1995
Category : Business & Economics
ISBN : UVA:X002705360
Author : James Evans
Publisher : Pearson Education
Page : 231 pages
File Size : 51,9 Mb
Release : 1991-03-29
Category : Technology & Engineering
ISBN : 9780132442015
With today's growing emphasis on quality improvement, training individuals in fundamental quality control skills is a major challenge. Professionals in manufacturing industries need to bring processes into statistical control – and maintain them. This book is designed to help readers learn the statistical tools and concepts needed to develop and use quality control effectively.
Author : Gerald Smith
Publisher : Prentice Hall
Page : 680 pages
File Size : 45,9 Mb
Release : 2004
Category : Business & Economics
ISBN : STANFORD:36105111843152
For freshman/sophomore level introductory courses in SPC (Statistical Process Control), Statistical Quality Control or Quality Control found in two and four-year college curriculums, and in industrial training programs. This mathematics-friendly text introduces students to basic concepts and applications of Statistical Process Control (SPC). Students get a solid foundation in control charts-including setting scales, charting, interpreting, and analyzing process capability. Problem-solving techniques are emphasized, and all learning is linked to the implementation of SPC in the workplace.
Author : Raymond G. Carey,Robert C. Lloyd
Publisher : Quality Press
Page : 339 pages
File Size : 50,8 Mb
Release : 2001-09-25
Category : Health & Fitness
ISBN : 9781636940816
This ground-breaking book addresses the critical, growing need among health care administrators and practitioners to measure the effectiveness of quality improvement efforts. Written by respected healthcare quality professionals, Measuring Quality Improvement in Healthcare covers practical applications of the tools and techniques of statistical process control (SPC), including control charts, in healthcare settings. The authors' straightforward discussions of data collection, variation, and process improvement set the context for the use and interpretation of control charts. Their approach incorporates "the voice of the customer" as a key element driving the improvement processes and outcomes. The core of the book is a set of 12 case studies that show how to apply statistical thinking to health care process, and when and how to use different types of control charts. The practical, down-to-earth orientation of the book makes it accessible to a wide readership. "Only authors who have used statistics and control charts to solve real-world healthcare problems could have written a book so practical and timely." - Barry S. Bader, Publisher The Quality Letter for Healthcare Leaders "Many clinicians and other healthcare leaders underestimate the great contributions that better statistical thinking could make toward reducing costs and improving outcomes. This fascinating and timely book is a fine guide for getting started." - Donald M. Berwick, M.D. President and CEO, Institute for Healthcare Improvement Associate Professor of Pediatrics, Harvard Medical School Contents: Planning Your CQI Journey, Preparing to Collect Data, Data Collection, Understanding Variation, Using Run and Control Charts to Analyze Process Variation, Control Chart Case Studies, Developing Improvement Strategies, Using Patient Surveys for CQI, Formulas for Calculating Control Limits
Author : James R. Thompson,Jacek Koronacki
Publisher : Chapman and Hall/CRC
Page : 420 pages
File Size : 54,8 Mb
Release : 1993-04-29
Category : Business & Economics
ISBN : UOM:35128001670379
Author : Peihua Qiu
Publisher : CRC Press
Page : 520 pages
File Size : 53,8 Mb
Release : 2013-10-14
Category : Business & Economics
ISBN : 9781482220414
A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon
Author : Robert James Oakland,John S Oakland
Publisher : Routledge
Page : 430 pages
File Size : 45,5 Mb
Release : 2018-10-08
Category : Business & Economics
ISBN : 9781351662680
The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control – a practical guide in the mid-eighties. Then people were rediscovering statistical methods of ‘quality control’ and the book responded to an often desperate need to find out about the techniques and use them on data. Pressure over time from organizations supplying directly to the consumer, typically in the automotive and high technology sectors, forced those in charge of the supplying production and service operations to think more about preventing problems than how to find and fix them. Subsequent editions retained the ‘took kit’ approach of the first but included some of the ‘philosophy’ behind the techniques and their use. The theme which runs throughout the 7th edition is still processes - that require understanding, have variation, must be properly controlled, have a capability, and need improvement - the five sections of this new edition. SPC never has been and never will be simply a ‘took kit’ and in this book the authors provide, not only the instructional guide for the tools, but communicate the management practices which have become so vital to success in organizations throughout the world. The book is supported by the authors' extensive and latest consulting work within thousands of organisations worldwide. Fully updated to include real-life case studies, new research based on client work from an array of industries, and integration with the latest computer methods and Minitab software, the book also retains its valued textbook quality through clear learning objectives and end of chapter discussion questions. It can still serve as a textbook for both student and practicing engineers, scientists, technologists, managers and for anyone wishing to understand or implement modern statistical process control techniques.
Author : James Robert Evans
Publisher : Pearson Education
Page : 208 pages
File Size : 50,7 Mb
Release : 1991
Category : Business & Economics
ISBN : UOM:39015021841542
With today's growing emphasis on quality improvement, training individuals in fundamental quality control skills is a major challenge. Professionals in manufacturing industries need to bring processes into statistical control - and maintain them. This book is designed to help readers learn the statistical tools and concepts needed to develop and use quality control effectively.
Author : Leonard A. Doty
Publisher : Industrial Press Inc.
Page : 396 pages
File Size : 44,6 Mb
Release : 1996
Category : Business & Economics
ISBN : 0831130695
This in-depth introduction to SPC examines the technical aspects of the practices and procedures that are used to apply the quality management system in manufacturing. As in the successful first edition, the author provides a description and history of SPC along with an analysis of how it is applied to control quality costs, productivity, product improvement, and work efficiency. New to this edition are an explanation of seven basic tools, new charts, and an exploration of current trends.
Author : Mal Owen
Publisher : Springer Science & Business Media
Page : 369 pages
File Size : 45,8 Mb
Release : 2013-06-29
Category : Technology & Engineering
ISBN : 9783662224199
There is no doubt that quality has become a major feature in the survival plan of organisations. With diminishing markets resulting from improved competitive performance and the associated factor of single-sourcing arrangements by the major organisations, it is clear that unless there is a commitment to change, organisations will lose their competitive edge. This will unfortunately mean elim ination and the resultant harsh realities that come with it for the employees. It has been said on many platforms that unemployment is not inevitable. Those organisations which recognise the requirements for survival know that quality, and its association with customer satisfaction, is now a key issue. Survival programmes based on quality improvement require an unrelenting com mitment to include everyone, from the Managing Director down, in an ongoing, never-ending involvement based on monitoring, and improving, all our activities. These Total Quality Management (TOM) programmes, whatever their specific nature, have a common theme of measuring and then improving. This text describes the philosophy and techniques of one type of involvement programme-Statistical Process Control (SPC). The material to follow suggests that SPC is a major element of any programme and, if properly applied, could be a complete programme in itself. Measuring and improving means that data must be collected, used, understood, interpreted and analysed, and thereby lies the difficulty.
Author : R.J. Does,C.B. Roes,A. Trip
Publisher : Springer Science & Business
Page : 266 pages
File Size : 50,5 Mb
Release : 1999-01-31
Category : Mathematics
ISBN : 0792355709
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 application of SPC. Audience: This volume is written for companies which are going to implement SPC, or which need a new impetus in order to get SPC properly off the ground. It will be of interest in particular to researchers whose work involves statistics and probability, production, operation and manufacturing management, industrial organisation and mathematical and quantitative methods. It will also appeal to specialists in engineering and management, for example in the electronic industry, discrete parts industry, process industry, automotive and aircraft industry and food industry.
Author : Marilyn K. Hart,Robert F. Hart
Publisher : Cengage Learning
Page : 0 pages
File Size : 42,5 Mb
Release : 2002
Category : Health facilities
ISBN : 053437865X
This book teaches and illustrates the use of SPC (Statistical Process Control) techniques for healthcare professionals. SPC techniques allow these professionals to properly extract information from healthcare data, make intelligent decisions based on statistical data, and know if the data has been presented in an appropriate manner. Using a case study approach, the authors present the theory, computations (hand and computer), and application (case study) for each concept. In recent years, SPC has been proven effective in improving the quality of health care, just as it has in other service industries and in manufacturing.
Author : Victor E. Sower
Publisher : Business Expert Press
Page : 176 pages
File Size : 45,7 Mb
Release : 2014-08-31
Category : Business & Economics
ISBN : 9781606498477
If you have been frustrated by very technical statistical process control (SPC) training materials, then this is the book for you. This book focuses on how SPC works and why managers should consider using it in their operations. It provides you with a conceptual understanding of SPC so that appropriate decisions can be made about the benefits of incorporating SPC into the process management and quality improvement processes. Today, there is little need to make the necessary calculations by hand, so the author utilizes Minitab and NWA Quality Analyst—two of the most popular statistical analysis software packages on the market. Links are provided to the home pages of these software packages where trial versions may be downloaded for evaluation and trial use. The book also addresses the question of why SPC should be considered for use, the process of implementing SPC, how to incorporate SPC into problem identification, problem solving, and the management and improvement of processes, products, and services.
Author : College of Business James R. Evans - Department of Quantitative Analysis and Information Systems,James R. Evans ((James Robert))
Publisher : Unknown
Page : 210 pages
File Size : 46,6 Mb
Release : 1991
Category : Process control
ISBN : OCLC:1047845555
With today's growing emphasis on quality improvement, training individuals in fundamental quality control skills is a major challenge. Professionals in manufacturing industries need to bring processes into statistical control - and maintain them. This book is designed to help readers learn the statistical tools and concepts needed to develop and use quality control effectively.
Author : Douglas C. Montgomery
Publisher : John Wiley & Sons
Page : 773 pages
File Size : 44,9 Mb
Release : 2019-12-30
Category : Einführung
ISBN : 9781119657118
"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."--
