Statistical Quality Control: Using MINITAB, R, JMP and Python

This book 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. It introduces Statistical Quality Control and the elements of Six Sigma Methodology, emphasizing the theory and application of various SQC techniques with examples from real-life situations. It covers Phase 1 Control Charts, Phase II Control Charts, Process Capability Indices, Measurement System Analysis, PRE-control, and more. The book is suitable for students studying engineering, statistics, management studies, and other related fields, as well as practitioners working to improve quality in various industries. It is supplemented by an instructor-only book companion site and a student book companion site with data sets and solutions manuals.

\n Format: Hardback
\n Length: 400 pages
\n Publication date: 24 June 2021
\n Publisher: John Wiley and Sons Ltd
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Statistical Quality Control (SQC) is a fundamental concept that plays a crucial role in improving the quality of products across various sectors. This comprehensive book provides a comprehensive understanding of SQC and demonstrates how to apply its techniques to enhance product quality.

In the first chapter, the book introduces Statistical Quality Control and the elements of Six Sigma Methodology. It explains how these two approaches are widely used in various industries, such as manufacturing, finance, transportation, and more. It emphasizes the importance of both theoretical knowledge and practical application of SQC techniques.

The second chapter delves into the different types of data encountered in statistical applications. It introduces graphical and numerical tools that are essential for conducting preliminary analysis of the data. This includes topics such as histograms, scatter plots, and correlation analysis, which help in identifying patterns and relationships within the data.

The third chapter discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology. It explains the principles of statistical process control, the definition of quality, and the various types of sampling methods used to study different 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), and various aspects of PRE-control.

The fourth chapter focuses on the learning and understanding of statistical quality control for second and third-year undergraduates and practitioners in the field. It discusses aspects of Six Sigma Methodology, such as DMAIC (Define, Measure, Analyze, Improve, and Control), and teaches readers to use MINITAB, R, JMP, and Python to create and analyze charts. The book assumes no prior knowledge of statistical theory and is supplemented by an extensive appendix that provides additional information and resources.

Overall, this book is an invaluable resource for anyone interested in improving the quality of products through the application of statistical quality control techniques. It provides a comprehensive understanding of SQC and Six Sigma Methodology, and offers practical guidance on how to apply these approaches in real-life situations. Whether you are a student, professional, or industry practitioner, this book will help you enhance your skills and knowledge in statistical quality control.

\n Weight: 1022g\n
Dimension: 186 x 261 x 31 (mm)\n
ISBN-13: 9781119671633\n \n