Implementing A Quality Management Program Using Statistical Quality Assurance Performance Standards
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Achieving Customer Experience Excellence through a Quality Management System
| Author | : Alka Jarvis |
| Publisher | : Quality Press |
| Total Pages | : 245 |
| Release | : 2016-07-08 |
| Genre | : Business & Economics |
| ISBN | : 0873899350 |
We are in what many call The Age of the Customer. Customers are empowered more than ever before and demand a high level of customer attention and service. Their increasing expectations and demands worldwide have forced organizations to transform themselves and prepare for the customer experience (CX) battlefield. This landmark book addresses: What customer experience really means Why it matters Whether it has any substantial business impact What your organization can do to deliver and sustain your CX efforts, and How we got to this particular point in CX history This book is the result of exhaustive research conducted to incorporate various components that affect customer experience. Based on the research results, the authors make a case for seeing CX and associated transformations as the next natural evolution of the quality management system (QMS) already in place in most companies. Using an existing QMS as the foundation for CX not only creates a more sustainable platform, but it allows for a faster and more cost effective way to enable an organization to attain world-class CX.
California State Publications
| Author | : |
| Publisher | : |
| Total Pages | : 44 |
| Release | : 1999 |
| Genre | : State government publications |
| ISBN | : |
Quality Management Implementation in Higher Education: Practices, Models, and Case Studies
| Author | : Sony, Michael |
| Publisher | : IGI Global |
| Total Pages | : 483 |
| Release | : 2019-08-02 |
| Genre | : Education |
| ISBN | : 1522598316 |
Although initially utilized in business and industrial environments, quality management systems can be adapted into higher education to assess and improve an institution’s standards. These strategies are now playing a vital role in educational areas such as teaching, learning, and institutional-level practices. However, quality management tools and models must be adapted to fit with the culture of higher education. Quality Management Implementation in Higher Education: Practices, Models, and Case Studies is a pivotal reference source that explores the challenges and solutions of designing quality management models in the current educational culture. Featuring research on topics such as Lean Six Sigma, distance education, and student supervision, this book is ideally designed for school board members, administrators, deans, policymakers, stakeholders, professors, graduate students, education professionals, and researchers seeking current research on the applications and success factors of quality management systems in various facets of higher education.
Improving Quality and Performance in Your Non-profit Organization
| Author | : Gary M. Grobman |
| Publisher | : |
| Total Pages | : 168 |
| Release | : 1999 |
| Genre | : Business & Economics |
| ISBN | : |
Managing non-profit organisations in the 21st century has become more challenging and sophisticated than ever before. This book is the first place to turn for an introduction to innovative, creative, and effective management techniques developed to totally transform your non-profit organisation, reap the benefits of the quality movement that is revolutionising commercial and non-profit organisations, and make your own organisation more competitive. Learn how you can: respond to uncertainty and organisational turbulence; reduce mistakes and infuse your staff with a quality ethic; rebuild your work processes from the ground up; find and implement 'best practices' of comparable organisations.
Fundamentals of Quality Control and Improvement
| Author | : Amitava Mitra |
| Publisher | : John Wiley & Sons |
| Total Pages | : 802 |
| Release | : 2021-04-27 |
| Genre | : Technology & Engineering |
| ISBN | : 1119692334 |
The newest edition of an insightful and practical statistical approach to quality control and management In the newly revised and thoroughly updated Fifth Edition of Fundamentals of Quality Control and Improvement, accomplished academic, consultant, and author Dr. Amitava Mitra delivers a comprehensive and quantitative approach to quality management techniques. The book demonstrates how to integrate statistical concepts with quality assurance methods, incorporating modern ideas, strategies, and philosophies of quality management. You'll discover experimental design concepts and the use of the Taguchi method to incorporate customer needs, improve lead time, and reduce costs. The new edition also includes brand-new case studies at the end of several chapters, references to the statistical software Minitab 19, and chapter updates that add discussions of trending and exciting topics in quality control. The book includes access to supplementary material for instructors consisting of a new instructor's solutions manual and PowerPoint slides, as well as access to data sets for all readers. Readers will also benefit from the inclusion of: A thorough introduction to the evolution of quality and definitions of quality, quality control, quality assurance, quality circles, and quality improvement teams An exploration of customer needs and market share, as well as the benefits of quality control and the total quality system Practical discussions of quality and reliability, quality improvement, product and service costing, and quality costs A concise treatment of how to measure quality costs, the management of quality, and the interrelationship between quality and productivity Perfect for upper-level undergraduate and graduate students in quality control and improvement, the Fifth Edition of Fundamentals of Quality Control and Improvement will also earn a place in the libraries of business students and those undertaking training programs in Six Sigma.
Statistical Quality Control
| Author | : Bhisham C. Gupta |
| Publisher | : John Wiley & Sons |
| Total Pages | : 404 |
| Release | : 2021-04-27 |
| Genre | : Technology & Engineering |
| ISBN | : 1119671639 |
STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field Discusses aspects of Six Sigma Methodology Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts Requires no previous knowledge of statistical theory Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It‘s also useful for those who use Six Sigma techniques to improve the quality of products in such areas.
Registries for Evaluating Patient Outcomes
| Author | : Agency for Healthcare Research and Quality/AHRQ |
| Publisher | : Government Printing Office |
| Total Pages | : 385 |
| Release | : 2014-04-01 |
| Genre | : Medical |
| ISBN | : 1587634333 |
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
