Statistical Quality Control

Author: Dan Trietsch
Publisher: World Scientific
ISBN: 9810230311
Release Date: 1999
Genre: Technology & Engineering

While many books on quality espouse the Taguchi loss function, they do not examine its impact on statistical quality control (SQC). But using the Taguchi loss function sheds new light on questions relating to SQC and calls for some changes. This book covers SQC in a way that conforms with the need to minimize loss. Subjects often not covered elsewhere include: (i) measurements, (ii) determining how many points to sample to obtain reliable control charts (for which purpose a new graphic tool, diffidence charts, is introduced), (iii) the connection between process capability and tolerances, (iv) how to adapt Deming's kp rule to quadratic loss, (v) how to adjust without tampering. We also discuss the efficiency of various statistics and how control chart constants are derived.

Introduction To Statistical Quality Control 4Th Ed

Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 812651471X
Release Date: 2007-12-20
Genre:

This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and non-product situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation.· Statistical Methods Useful In Quality Improvement· Basic Methods of Statistical Process Control And Capability Analysis· Other Statistical Process Monitoring and Control Techniques· Process Design and Improvement with Designed Experiments· Acceptance Sampling

Introduction to Statistical Quality Control

Author: Douglas C. Montgomery
Publisher: John Wiley & Sons Incorporated
ISBN: 0470233974
Release Date: 2009
Genre: Political Science

The trusted guide to the statistical methods for quality control. Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement. With this text, you′ll learn how to apply state–of–the–art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques. You′ll appreciate the significant updates in the Sixth Edition including: ∗ In–depth attention to DMAIC, the problem–solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects. ∗ New examples that illustrate applications of statistical quality improvement techniques in non–manufacturing settings. Many examples and exercises are based on real data. ∗ New developments in the area of measurement systems analysis ∗ New features of Minitab V15 incorporated into the text ∗ Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material

Statistical Quality Control 7th Edition

Author: Douglas C. Montgomery
Publisher: Wiley Global Education
ISBN: 9781118214688
Release Date: 2012-05-29
Genre: Technology & Engineering

The Seventh Edition of Introduction to Statistical Quality Control provides a comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement. Both traditional and modern methods are presented, including state-of-the-art techniques for statistical process monitoring and control and statistically designed experiments for process characterization, optimization, and process robustness studies. The seventh edition continues to focus on DMAIC (define, measure, analyze, improve, and control--the problem-solving strategy of six sigma) including a chapter on the implementation process. Additionally, the text includes new examples, exercises, problems, and techniques. Statistical Quality Control is best suited for upper-division students in engineering, statistics, business and management science or students in graduate courses.

Frontiers in Statistical Quality Control 6

Author: Hans-Joachim Lenz
Publisher: Springer Science & Business Media
ISBN: 9783642575907
Release Date: 2012-12-06
Genre: Business & Economics

In the 1920's, Walter Shewhart visualized that the marriage of statistical methods and manufacturing processes would produce reliable and consistent quality products. Shewhart (1931) conceived the idea of statistical process control (SPC) and developed the well-known and appropriately named Shewhart control chart. However, from the 1930s to the 1990s, literature on SPC schemes have been "captured" by the Shewhart paradigm of normality, independence and homogeneous variance. When in fact, the problems facing today's industries are more inconsistent than those faced by Shewhart in the 1930s. As a result of the advances in machine and sensor technology, process data can often be collected on-line. In this situation, the process observations that result from data collection activities will frequently not be serially independent, but autocorrelated. Autocorrelation has a significant impact on a control chart: the process may not exhibit a state of statistical control when in fact, it is in control. As the prevalence of this type of data is expected to increase in industry (Hahn 1989), so does the need to control and monitor it. Equivalently, literature has reflected this trend, and research in the area of SPC with autocorrelated data continues so that effective methods of handling correlated data are available. This type of data regularly occurs in the chemical and process industries, and is pervasive in computer-integrated manufacturing environments, clinical laboratory settings and in the majority of SPC applications across various manufacturing and service industries (Alwan 1991).

Glossary and Tables for Statistical Quality Control

Author:
Publisher: ASQ Quality Press
ISBN: 0873896319
Release Date: 2005
Genre: Business & Economics

The new edition of the best-selling reference on statistical quality control has been updated to include definitions re-written for a wider audience to grasp the meaning of technical terms. These definitions also parallel national and international standards and are categorized into sections that make it easy to identify by subject matter. Terms have been extensively cross-referenced and alphabetized in one handy reference along with a comprehensive collection of statistical tables that make it easy to access all of the information needed for statistical calculation. New items added to this edition include a guide for control chart selection and g and h control charts. Basic statistical measures and equation examples make this an outstanding resource for every quality professional as well as a great resource for preparing for the Certified Quality Engineer, Certified Mechanical Inspector, and Certified Quality Technician's exams. Preview a sample chapter from this book along with the full table of contents by clicking here. You will need Adobe Acrobat to view this pdf file.

Statistical Quality Control for the Food Industry

Author: Merton Hubbard
Publisher: Springer
ISBN: 9781489926777
Release Date: 2013-11-11
Genre: Technology & Engineering

Considering the ability of food processing companies to consistently manu facture safe foods with uniform quality over the past 20 or 30 years without these new tools and new systems, one might expect that quality control improvements would be marginal. On the other hand, these changes have already provided sub stantial opportunities for process and product improvement. This second edition is intended to update the basic concepts and discuss some of the new ones. Preface to the First Edition If an automobile tire leaks or an electric light switch fails, if we are short-changed at a department store or erroneously billed for phone calls not made, if a plane de parture is delayed due to a mechanical failure-these are rather ordinary annoy ances which we have come to accept as normal occurrences. Contrast this with failure of a food product. If foreign matter is found in a food, if a product is discolored or crushed, if illness or discomfort occurs when a food product is eaten-the consumer reacts with anger, fear, and sometimes mass hys teria. The offending product is often returned to the seller, or a disgruntled letter is written to the manufacturer. In an extreme case, an expensive law suit may be filed against the company. The reaction is almost as severe if the failure is a dif ficult-to-open package or a leaking container. There is no tolerance for failure of food products.

Elementary Statistical Quality Control 2nd Edition

Author: John T. Burr
Publisher: CRC Press
ISBN: 9781420056532
Release Date: 2004-12-28
Genre: Business & Economics

Maintaining the reader-friendly features of its popular predecessor, the Second Edition illustrates fundamental principles and practices in statistical quality control for improved quality, reliability, and productivity in the management of production processes and industrial and business operations. Presenting key concepts of statistical quality control in a simple and straightforward manner, this reference will provide a solid foundation in statistical quality control theory, background, and applications. Moving from elementary topics to sampling by variables, sound tolerancing, and relationships between variables, this reference

Multivariate Statistical Quality Control Using R

Author: Edgar Santos-Fernández
Publisher: Springer Science & Business Media
ISBN: 9781461454533
Release Date: 2012-09-22
Genre: Computers

​​​​​The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These analyses are performed almost exclusively with multivariate methodologies. The aim of this Brief is to present the most important MSQC techniques developed in R language. The book is divided into two parts. The first part contains the basic R elements, an introduction to statistical procedures, and the main aspects related to Statistical Quality Control (SQC). The second part covers the construction of multivariate control charts, the calculation of Multivariate Capability Indices.

Frontiers in Statistical Quality Control 10

Author: Hans-Joachim Lenz
Publisher: Springer Science & Business Media
ISBN: 9783790828467
Release Date: 2012-08-04
Genre: Mathematics

The 10th International Workshop on Intelligent Statistical Quality Control took place in Seattle, USA, Aug 18-20, 2010. It was hosted by Professor C. M. Mastrangelo, Department of Industrial and Systems Engineering, University of Washington, Seattle. The workshop was jointly organized by Professors H. J. Lenz, C. M. Mastrangelo, W. Schmid and P.T. Wilrich. The twenty-seven papers in this volume were carefully selected by the scientific program committee, reviewed by its members, revised by the authors and, finally, adapted for this volume by the editors. The book is divided into two parts: Part I "On-line Control" covers fields like control charting, monitoring and surveillance as well as acceptance sampling. Part II "Off-line Control" is devoted to experimental design, process capability analysis and data quality. The purpose of the book is on the one hand to provide insights into important new developments in the area of statistical quality control – especially surveillance and monitoring – and on the other hand to critically discuss methods used in on-line and off-line statistical quality control.

Statistical Quality Control

Author: M. Jeya Chandra
Publisher: CRC Press
ISBN: 1420038672
Release Date: 2001-06-21
Genre: Business & Economics

It has recently become apparent that "quality" is quickly becoming the single most important factor for success and growth in business. Companies achieving higher quality in their products through effective quality improvement programs enjoy a significant competitive advantage. It is, therefore, essential for engineers responsible for design, development, and manufacture of products to understand the concepts and techniques of quality control. Statistical Quality Control imparts that understanding. Covering the basic steps in quality assurance and control methodologies, this unique text not only sequences, but also integrates the various techniques presented. The chapters, which include Optimum Process Means and Process Setting, are arranged in logical order. This advanced treatment makes Statistical Quality Control an ideal graduate text as well as a reference for practitioners working in design and quality control.

Frontiers in Statistical Quality Control 7

Author: Hans-Joachim Lenz
Publisher: Springer Science & Business Media
ISBN: 9783790826746
Release Date: 2012-12-06
Genre: Business & Economics

This volume treats the four main categories of Statistical Quality Control: General SQC Methodology, On-line Control including Sampling Inspection and Statistical Process Control, Off-line Control with Data Analysis and Experimental Design, and, fields related to Reliability. Experts with international reputation present their newest contributions.

Frontiers in Statistical Quality Control 8

Author: Hans-Joachim Lenz
Publisher: Springer Science & Business Media
ISBN: 9783790816877
Release Date: 2006-08-08
Genre: Mathematics

In Canada, acceptance sampling has been used in legal metrology applications for nearly four decades. One of its principal uses has been in the quality control of utility meters that measure electricity or natural gas supplied to consumers. By law, such meters must be inspected for conformance to specification requirements prior to use and be periodically inspected while huse. With few exceptions, due to the numerous utility companies in the country and their varied practices, the meters exist in the form of isolated lots for inspection purposes. The proportion of nonconforming meters in a lot has traditionally defined lot quality for utility meter sampling inspection purposes. Another principal application of acceptance sampling has been in the quality control of the net contents of packaged products sold in the marketplace. Such products include those sold on the basis of such measures as weight, volume, length, and area. In this particular application, products are also usually inspected on an isolated-lot basis for regulatory purposes. However, lot quality is usually measured on the basis of two criteria for such products: the proportion of nonc- forming packages in the lot and the lot mean quantity. This section reviews Canadian quality control practices in these two areas of application, highlighting some of the deficiencies and issues. Three-class s- pling plans are proposed as a possible solution to some of these deficiencies and issues.