Introduction to Statistical Quality Control 6th Edition with Minitab 30 Day Trial Professional Set PDF Download
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Author: Douglas C. Montgomery
Publisher:
ISBN: 9780470372043
Category :
Languages : en
Pages :
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Book Description
Author: Douglas C. Montgomery
Publisher:
ISBN: 9780470372043
Category :
Languages : en
Pages :
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Book Description
Author: Bhisham C. Gupta
Publisher: John Wiley & Sons
ISBN: 1119671639
Category : Technology & Engineering
Languages : en
Pages : 404
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Book Description
STATISTICAL QUALITY CONTROL Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field Discusses aspects of Six Sigma Methodology Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts Requires no previous knowledge of statistical theory Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems Statistical Quality Control: Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It‘s also useful for those who use Six Sigma techniques to improve the quality of products in such areas.
Author: Douglas C. Montgomery
Publisher:
ISBN: 9781119177814
Category :
Languages : en
Pages :
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Book Description
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1119657113
Category : Einführung
Languages : en
Pages : 773
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Book Description
"Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the efficacy of statistically-oriented experiments in the context of process characterization, optimization, and acceptance sampling, while examination of the implementation process provides context to real-world applications. Emphasis on Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) provides a strategic problem-solving framework that can be applied across a variety of disciplines.Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, business, and management sciences.A strong pedagogical toolset, including multiple practice problems, real-world data sets and examples, provides students with a solid base of conceptual and practical knowledge."--
Author: Douglas C. Montgomery
Publisher:
ISBN: 9780470099056
Category :
Languages : en
Pages : 1026
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Book Description
Deals with the use of modern statistical methods for quality control and improvement. This book provides comprehensive coverage of the subject from basic principles to advanced concepts and applications. It reflects contemporary practice and covers information on management aspects of quality improvement.
Author: Douglas C. Montgomery
Publisher:
ISBN: 9780471711087
Category :
Languages : en
Pages : 776
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Book Description
Deals with the use of modern statistical methods for quality control and improvement. This book provides comprehensive coverage of the subject from basic principles to advanced concepts and applications. It reflects contemporary practice and covers information on management aspects of quality improvement.
Author: Douglas C. Montgomery
Publisher: Wiley
ISBN: 9780470169926
Category : Technology & Engineering
Languages : en
Pages : 752
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Book Description
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
Author: Douglas C. Montgomery
Publisher:
ISBN: 9781119592785
Category :
Languages : en
Pages :
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Book Description
Author: Douglas C. Montgomery
Publisher:
ISBN: 9780470372050
Category :
Languages : en
Pages :
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Book Description
Author: G. Robin Henderson
Publisher: John Wiley & Sons
ISBN: 1119975336
Category : Mathematics
Languages : en
Pages : 1
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Book Description
This book aims to enable readers to understand and implement, via the widely used statistical software package Minitab (Release 16), statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes and services. The second edition includes the following new material: Pareto charts and Cause-and-Effect diagrams Time-weighted control charts cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) Multivariate control charts Acceptance sampling by attributes and variables (not provided in Release 14) Tests of association using the chi-square distribution Logistic regression Taguchi experimental designs
