Technometrics - Journal
Technometrics contributes to the development and use of statistical methods in the physical, chemical, and engineering sciences as well as information sciences and technology. It features papers that describe new statistical techniques; illustrate innovative applications of known statistical methods; or review methods, issues, or philosophy in a particular area of statistics or science. Articles are expected to include adequate justification of the application of the technique, preferably by means of an actual application to a problem in the physical, chemical, engineering or information sciences.
Technometrics is co-published four times per year by ASQ and the American Statistical Association (ASA).
SPC - Statistical Process Control in Injection Molding and Extrusion
Hanser Verlag, 01-Jan-2008 - 250 pages
Statistics in Industry
Ravindra Khattree, Calyampudi Radhakrishna Rao
Gulf Professional Publishing, 01-Jan-2003 - Mathematics - 1187 pages
A state-of-the-art exposition of topics in the field of industrial statistics DESCRIPTION: The Handbook of Statistics, a series of self-contained reference books. Each volume is devoted to a particular topic in statistics. Every chapter is written by prominent workers in the area to which the volume is devoted. The series is addressed to the entire community of statisticians and scientists in various disciplines who use statistical methodology in their work. At the same time, special emphasis is placed on applications-oriented techniques, with the applied statistician in mind as the primary audience. This volume presents a state of the art exposition of topics in the field of industrial statistics. It serves as an invaluable reference for the researchers in industrial statistics/industrial engineering and an up to date source of information for practicing statisticians/industrial engineers. A variety of topics in the areas of industrial process monitoring, industrial experimentation, industrial modelling and data analysis are covered and are authored by leading researchers or practitioners in the particular specialized topic. Targeting the audiences of researchers in academia as well as practitioners and consultants in industry, the book provides comprehensive accounts of the relevant topics. In addition, whenever applicable ample data analytic illustrations are provided with the help of real world data. TABLE OF CONTENTS: Part 1: Statistics in Research and Development; Part 2: Statistics in on-line Industrial Processes; Part 3: Measurement Processes; Part 4: Statistical Inferential Techniques useful in Industrial Applications; Part 5: Software Reliability
A Primer on Experiments with Mixtures
John A. Cornell
John Wiley & Sons, 26-Sep-2011 - Mathematics - 368 pages
A Primer on Experiments with Mixtures provides an introductory presentation of the key principles behind experimenting with mixtures. Outlining useful techniques through an applied approach with examples from real research situations, the book supplies a comprehensive discussion of how to design and set up basic mixture experiments, then analyze the data and draw inferences from results.
Drawing from his extensive experience teaching the topic at various levels, the author presents the mixture experiments in an easy-to-follow manner that is void of unnecessary formulas and theory. Succinct presentations explore key methods and techniques for carrying out basic mixture experiments, including:
Designs and models for exploring the entire simplex factor space, with coverage of simplex-lattice and simplex-centroid designs, canonical polynomials, the plotting of individual residuals, and axial designs
Multiple constraints on the component proportions in the form of lower and/or upper bounds, introducing L-Pseudocomponents, multicomponent constraints, and multiple lattice designs for major and minor component classifications
Techniques for analyzing mixture data such as model reduction and screening components, as well as additional topics such as measuring the leverage of certain design points
Models containing ratios of the components, Cox's mixture polynomials, and the fitting of a slack variable model
A review of least squares and the analysis of variance for fitting data
Each chapter concludes with a summary and appendices with details on the technical aspects of the material. Throughout the book, exercise sets with selected answers allow readers to test their comprehension of the material, and References and Recommended Reading sections outline further resources for study of the presented topics.
A Primer on Experiments with Mixtures is an excellent book for one-semester courses on mixture designs and can also serve as a supplement for design of experiments courses at the upper-undergraduate and graduate levels. It is also a suitable reference for practitioners and researchers who have an interest in experiments with mixtures and would like to learn more about the related mixture designs and models.
Statistical Case Studies for Industrial Process Improvement
Veronica Czitrom, Patrick D. Spagon
SIAM, 1997 - Mathematics - 514 pages
American industry is becoming more aware of the importance of applying statistical methods to improve its competitive edge in the world market. Examples of real industrial applications can serve as a major motivator for industries that want to increase their use of statistical methods. This book contains a broad selection of case studies written by professionals in the semiconductor industry that illustrate the use of statistical methods to improve manufacturing processes. These case studies offer engineers, scientists, technicians, and managers numerous examples of best-in-class practices by their peers. Because of the universal nature of statistical applications, the methods described here can be applied to a wide range of industries, including the chemical, biotechnology, automotive, steel, plastics, textile, and food industries.
30 Papers in the book
Case Studies and Applications
1. Cylinder Line Boring Case Study
2. Implementation of SPC Techniques in Automotive Industry: A Case Study
Dr. D. R. Prajapati
Assistant Professor in the Department of Mechanical Engineering, PEC University of Technology (formerly Punjab Engineering College), Chandigarh-160012 (India), 2012 paper
3. APPLICATION OF STATISTICAL PROCESS CONTROL TO SOFTWARE DEVELOPMENT PROCESSES VIA CONTROL CHARTS
A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF INFORMATICS
OF THE MIDDLE EAST TECHNICAL UNIVERSITY
by KAMİL UMUT SARGUT
MASTER OF SCIENCE IN THE DEPARTMENT OF INFORMATION SYSTEMS
4. Real Time Statistical Process Control Systems for Saw Mills
5. Process Control Tool for a Production Line at Nokia - 2000
6. Statistical Methods for Monitoring Service Processes
7. Statistical Quality Control in Cable Industry
Case Study: Copper Consumption Reduction in Nexans IKO Sweden
8. The use of Statistical Process Control Technique in the Ceramic Tile Manufacturing: a Case Study
9. Forty Sixth CIRP Conference on Manufacturing Systems 2013
Statistical Process Control as a Service: An Industrial Case Study
Gašper Škulja, Rok Vrabiča,, Peter Butalaa, Alojzij Slugaa
10 . APPLICATION OF STATISTICAL PROCESS CONTROL IN INJECTION MOULD MANUFACTURING
2004 MS Thesis