Zero Quality Control

Zero Quality Control
Author: Shigeo Shingo
Publisher: Taylor & Francis
Total Pages: 330
Release: 2021-12-16
Genre: Business & Economics
ISBN: 135140394X

A combination of source inspection and mistake-proofing devices is the only method to get you to zero defects. Shigeo Shingo shows you how this proven system for reducing errors turns out the highest quality products in the shortest period of time. Shingo provides 112 specific examples of poka-yoke development devices on the shop floor, most of them costing less than $100 to implement. He also discusses inspection systems, quality control circles, and the function of management with regard to inspection.

Introduction to Statistical Quality Control

Introduction to Statistical Quality Control
Author: Christina M. Mastrangelo
Publisher: Wiley
Total Pages: 244
Release: 1991
Genre: Business & Economics
ISBN:

Revised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, it contains numerous changes, including a more detailed discussion of the basic SPC problem-solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially-weighted, moving-average control charts, and a new section on process improvement with designed experiments.

Managing, Controlling, and Improving Quality

Managing, Controlling, and Improving Quality
Author: Douglas C. Montgomery
Publisher: Wiley
Total Pages: 0
Release: 2010-04-12
Genre: Technology & Engineering
ISBN: 9780471697916

This book presents an organized approach to quality management, control, and improvement. Because quality problems usually are the outcome of uncontrolled or excessive variability, statistical tools and other analytical methods play an important role in solving these problems. However, these techniques need to be implemented within a management structure that will ensure success. This text focuses on both the management structure and the statistical and analytical tools. It organizes and presents this material according to many years of teaching, research, and professional practice across a wide range of business and industrial settings.

Fundamentals of Quality Control and Improvement 2e

Fundamentals of Quality Control and Improvement 2e
Author: Amitava Mitra
Publisher: Custom Pub
Total Pages: 682
Release: 2005-01-01
Genre: Business & Economics
ISBN: 9780759351721

This book covers the foundations of modern methods of quality control and improvement that are used in the manufacturing and service industries. Quality is key to surviving tough competition. Consequently, business needs technically competent people who are well-versed in statistical quality control and improvement. This book should serve the needs of students in business and management and students in engineering, technology, and other related disciplines. Professionals will find this book to be a valuable reference in the field.

Statistical Method from the Viewpoint of Quality Control

Statistical Method from the Viewpoint of Quality Control
Author: Walter A. Shewhart
Publisher: Courier Corporation
Total Pages: 178
Release: 2012-07-31
Genre: Mathematics
ISBN: 048617087X

Important text offers lucid explanation of how to regulate variables and maintain control over statistics in order to achieve quality control over manufactured products, crops and data. First inexpensive paperback edition.

Quality Control with R

Quality Control with R
Author: Emilio L. Cano
Publisher: Springer
Total Pages: 373
Release: 2015-11-20
Genre: Business & Economics
ISBN: 3319240463

Presenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest possible audience of quality-control professionals and statisticians, examples throughout are structured to simplify complex equations and data structures, and to demonstrate their applications to quality control processes, such as ISO standards. The volume balances its treatment of key aspects of quality control, statistics, and programming in R, making the text accessible to beginners and expert quality control professionals alike. Several appendices serve as useful references for ISO standards and common tasks performed while applying quality control with R.

Standards, Quality Control, and Measurement Sciences in 3D Printing and Additive Manufacturing

Standards, Quality Control, and Measurement Sciences in 3D Printing and Additive Manufacturing
Author: Chee Kai Chua
Publisher: Academic Press
Total Pages: 270
Release: 2017-06-03
Genre: Technology & Engineering
ISBN: 0128134909

Standards, Quality Control and Measurement Sciences in 3D Printing and Additive Manufacturing addresses the critical elements of the standards and measurement sciences in 3D printing to help readers design and create safe, reliable products of high quality. With 3D printing revolutionizing the process of manufacturing in a wide range of products, the book takes key features into account, such as design and fabrication and the current state and future potentials and opportunities in the field. In addition, the book provides an in-depth analysis on the importance of standards and measurement sciences. With self-test exercises at the end of each chapter, readers can improve their ability to take up challenges and become proficient in a number of topics related to 3D printing, including software usage, materials specification and benchmarking. Helps the reader understand the quality framework tailored for 3D printing processes Explains data format and process control in 3D printing Provides an overview of different materials and characterization methods Covers benchmarking and metrology for 3D printing