Statistical Quality Control
eBook - PDF

Statistical Quality Control

Using MINITAB, R, JMP and Python

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Statistical Quality Control

Using MINITAB, R, JMP and Python

About this book

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.

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Yes, you can access Statistical Quality Control by Bhisham C. Gupta in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Operations. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Preface
  6. About the Companion Website
  7. Chapter 1 Quality Improvement and Management
  8. Chapter 2 Basic Concepts of the Six Sigma Methodology
  9. Chapter 3 Describing Quantitative and Qualitative Data
  10. Chapter 4 Sampling Methods
  11. Chapter 5 Phase I Quality Control Charts for Variables
  12. Chapter 6 Phase I Control Charts for Attributes
  13. Chapter 7 Phase II Quality Control Charts for Detecting Small Shifts
  14. Chapter 8 Process and Measurement System Capability Analysis
  15. Chapter 9 Acceptance Sampling Plans
  16. Chapter 10 Computer Resources to Support SQC: Minitab, R, JMP, and Python
  17. Appendix A Statistical Tables
  18. Appendix B Answers to Selected Practice Problems
  19. Bibliography
  20. Index