In the midst of global chaos and its aftermath, doing business the old-fashioned way no longer serves anyone. Visionary Business Leaders recognize the urgent need for a different approach to achieving long-term stability. On-the-ground professional experiences and challenges led Natella Isazada to ask important questions. Her discoveries might surprise you.WHAT IF THE SECRET TO BUSINESS SUCCESS IS CARING WORKPLACES?●Is it possible to be a rank-and-file employee and still be satisfied with your workplace? ●Is it possible that the staff you hire can become your greatest brand ambassadors? ●Is it possible that caring about your employees' motivations can generate the abundant bottom-line results you've always sought? WHAT IF CARING LEADERSHIP IS THE PROFITABLE BUSINESS SOLUTION YOU'VE BEEN SEEKING?With relatable anecdotes and examples, Quality In Quality Out offers an overlooked perspective: with Caring Leadership, your employees can make a profound contribution to company profits and a lasting legacy.CAN QUALITY IN QUALITY OUT PROVIDE A NEW PATHWAY TO SUCCEED IN BUSINESS?Outlining productive steps any Business Leader can implement, QIQO is a long-term strategy and a framework of support for building dedicated teams ready to embrace the future.YOUR PEOPLE ARE LOOKING TO YOU: GET READY TO LEAD THEM WITH QIQO.

The Quality Toolbox is a comprehensive reference to a variety of methods and techniques: those most commonly used for quality improvement, many less commonly used, and some created by the author and not available elsewhere. The reader will find the widely used seven basic quality control tools (for example, fishbone diagram, and Pareto chart) as well as the newer management and planning tools. Tools are included for generating and organizing ideas, evaluating ideas, analyzing processes, determining root causes, planning, and basic data-handling and statistics. The book is written and organized to be as simple as possible to use so that anyone can find and learn new tools without a teacher. Above all, this is an instruction book. The reader can learn new tools or, for familiar tools, discover new variations or applications. It also is a reference book, organized so that a half-remembered tool can be found and reviewed easily, and the right tool to solve a particular problem or achieve a specific goal can be quickly identified. With this book close at hand, a quality improvement team becomes capable of more efficient and effective work with less assistance from a trained quality consultant. Quality and training professionals also will find it a handy reference and quick way to expand their repertoire of tools, techniques, applications, and tricks. For this second edition, Tague added 34 tools and 18 variations. The "Quality Improvement Stories" chapter has been expanded to include detailed case studies from three Baldrige Award winners. An entirely new chapter, "Mega-Tools: Quality Management Systems," puts the tools into two contexts: the historical evolution of quality improvement and the quality management systems within which the tools are used. This edition liberally uses icons with each tool description to reinforce for the reader what kind of tool it is and where it is used within the improvement process.

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

Ideal for any industry, this book gives a basic introduction to continuous improvement and provides a comprehensive overview of the quality improvement theory, methods, and basic tools. Written in a format to help those with little or no understanding of continuous quality improvement, the author provides basic guidelines that can be immediately applied to improve decision-making and problem-resolution.!--nl--If you are a new employee in an organization that has a quality program in place or an employer who needs a quick, and simple book about quality for your employees, this book meets those needs. The author uses easy-to-read, short chapters to explain the basics of quality, and uses common, real-life scenarios to demonstrate key points and concepts. The material is organized in a manner that makes it easier for the reader to use and benefit from the book in a short time.

"Incorrect and misleading information associated with an enterprise's production and service jeopardize both customer relationships and customer satisfaction, and ultimately have a negative effect on revenue. This book provides insight and support for academic professionals as well as for practitioners concerned with the management of information"--Provided by publisher.

Based on Dr. W. Edwards Deming's philosophy for the improvement of quality, productivity, and competitive position, this book is perfect for production, management science, statistics, and industrial engineering professionals. The book features enumerative and analytical statistical studies, showing the difference between fixed populations and processes; methods for improving a stable process with a known capability; techniques for analyzing and interpreting control chart patterns; and modern inspection policies, specifically Deming's kp rules, instead of traditional sampling plans. It also includes quality improvement stories, examples, and mini-case studies that convert complex topics into easy-to-understand material.

Quality Concepts for the Process Industry prepares readers for a career as process plant operators. This book covers the classical concepts of quality control in a style and at a depth that should be acquired by all employees of the process industries. Each chapter of the text contains chapter objectives, thorough discussions of the concepts presented, a summary, and end-of-chapter review questions. There is a complete glossary of terms and a list of additional references in the back of the book. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.