"Since right-brain thinkers often gravitate to service jobs, the examples used in the book follow a theme that demonstrates the use of SPC in a service organization: an imaginary law firm. These examples can be adapted to any situation and they do not require knowledge of the legal profession. Also, the theme demonstrates the process involved in planning and deploying SPC, highlighting the human factors and workplace realities that are especially critical to putting SPC to work in a service environment."--BOOK JACKET.

Written in clear language, this hands-on manual simplifies the essentials for monitoring, analyzing, and improving quality. The authors explain how to set up and use variable and attribute control charts, as well as analyze frequency histograms, and evaluate machine and process capability.

Statistical Methods for SPC and TQM sets out to fill the gap for those in statistical process control (SPC) and total quality management (TQM) who need a practical guide to the logical basis of data presentation, control charting, and capability indices. Statistical theory is introduced in a practical context, usually by way of numerical examples. Several methods familiar to statisticians have been simplified to make them more accessible. Suitable tabulations of these functions are included; in several cases, effective and simple approximations are offered. Contents Data Collection and Graphical Summaries Numerical Data Summaries-Location and Dispersion Probability and Distribution Sampling, Estimation, and Confidence Sample Tests of Hypothesis; "Significance Tests" Control Charts for Process Management and Improvement Control Charts for Average and Variation Control Charts for "Single-Valued" Observations Control Charts for Attributes and Events Control Charts: Problems and Special Cases Cusum Methods Process Capability-Attributes, Events, and Normally Distributed Data Capability; Non-Normal Distributions Evaluating the Precision of a Measurement System (Gauge Capability) Getting More from Control Chart Data SPC in "Non-Product" Applications Appendices

Written by an experienced European Patent Attorney and scholar, this book sets out in detail the framework for protection of pharmaceutical innovation under the SPC Regulation. With a focus on both biotechnological innovation and secondary innovation, and through extensive reference to the case law, Ulla Klinge surveys the court’s evolving interpretation of legal and technical eligibility for this extended term of protection. This book provides clear and pragmatic tools to reflect and guide future practice, while offering key explanations and insights as to why and how technological developments challenge the legal SPC framework.

The intention of this book is to teach SPC and its application to specific processes in an integrated fashion. Many SPC training programs are taught by people that are very familiar with statistics but know little about plastics processing technology. However, successful implementation of SPC requires an understanding of SPC as well as process know-how. This book, therefore, aims to teach not only the principles of SPC but also basic injection molding and extrusion process technology.

SPC for Right-Brain Thinkers is not simply another made-easy book on the subject of statistical process control (SPC). The guiding principle in writing this book was to make SPC accessible to that large group of individuals who would readily characterize themselves as right-brain thinkers. The challenge that right-brained thinkers face in understanding and applying SPC goes beyond the math; it is also a matter of approaching the subject from a different perspective altogether—--through the side door, if you will, where the inner workings of SPC may be seen in action. The book is also intended to serve the information needs of those who either own or work within the job processes wherein SPC is applied. Since right-brain thinkers are often inclined to gravitate to service-oriented jobs, the examples used in this book demonstrate the use of SPC in a service organization: a pseudo law firm called Advocate General. These examples demonstrate the basic principles of SPC in way that can be adapted to any situation. This is a book for those who: are inclined to label themselves as right-brain thinkers; are intimidated by math, possibly even the mere mention of something as ominous-sounding as statistical process control; and/or need only a basic understanding of SPC, perhaps from a systems perspective or as a potential user of an SPC tracking system.