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 stati
Statistical Process Control For Quality Improvement- Hardcover Version
โ Scribed by J. Koronacki (Author); J.R. Thompson (Author)
- Publisher
- Chapman and Hall/CRC
- Year
- 2001
- Leaves
- 455
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
While the common practice of Quality Assurance aims to prevent bad units from being shipped beyond some allowable proportion, statistical process control (SPC) ensures that bad units are not created in the first place. Its philosophy of continuous quality improvement, to a great extent responsible for the success of Japanese manufacturing, is roote
โฆ Table of Contents
Statistical Process Control: A Brief Overview. Acceptance-Rejection Statistical Process Control. The Development of Mean and Standard Deviation Control Charts. Sequential Approaches. Exploratory Techniques for Preliminary Analysis. Optimization Approaches. Multivariate Approaches. Appendices: A Brief Introduction to Linear Algebra. A Brief Introduction to Stochastics. Statistical Tables.
โฆ Subjects
Engineering & Technology;Industrial Engineering & Manufacturing;Quality Control & Reliability;Mathematics & Statistics for Engineers;Mathematics & Statistics;Statistics & Probability;Operations Research;SPC/Reliability/Quality Control
๐ SIMILAR VOLUMES
<span>Quality is a discipline that focuses on product and service excellence. This book is about improving the quality of products and services. The improved quality and reliability lead to higher perceived value and increased market share for a company, thereby increasing revenue and profitability.
A comprehensive presentation of control theory for the SPC community Quality control has become a major concern in today's competitive industrial environment, and industrial engineers are constantly seeking to make process adjustments that will optimize production efficiency and improve product qual
<i>"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. T
This text is highly recommended for managers and serious students of quality. Major US companies issue this reference and training manual to all managers during their quality training. This volume is also very valuable as a stand-alone reference on using statistics with a business and quality perspe