Statistical quality control using Minitab, R, JMP, and Python

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Title:

Author:

Gupta, Bhisham C., 1942- author.

ISBN:

9781119671718

9781119671701

9781119671725

Physical Description:

1 online resource (xix, 370 pages) : illustrations (some color)

Contents:

Chapter 1- QUALITY IMPROVEMENT AND MANAGEMENT1 -- 1.1 Introduction 1 -- 1.2 Statistical Quality Control 1 -- 1.3 Implementing Quality Improvement 9 -- 1.4 Managing Quality Improvement 15 -- Chapter 2 - BASIC CONCEPTS OF THE SIX SIGMA METHODOLOGY 20 -- 2.1 Introduction 20 -- 2.2 What is Six Sigma? 20 -- 2.3 Is Six Sigma New? 29 -- 2.4 Quality Tools Used in Six Sigma 30 -- 2.5 Six Sigma Benefits and Criticism 40 -- Review Practice Problems 42 -- Chapter 3- DESCRIBING QUANTITATIVE AND QUALITATIVE DATA 44 -- 3.1 Introduction 44 -- 3.2 Classification of Various Types of Data 44 -- 3.3 Analyzing Data Using Graphical Tools 47 -- 3.4 Describing Data Graphically 52 -- 3.5 Analyzing Data Using Numerical Tools 71 -- 3.6 Some Important Probability Distributions 87 -- Review Practice Problems 107 -- Chapter 4 - SAMPLING METHODS 118 -- 4.1 Introduction 118 -- 4.2 Basic Concepts of Sampling 118 -- 4.3 Simple Random Sampling 123 -- 4.4 Stratified Random Sampling 132 -- 4.5 Systematic Random Sampling 139 -- 4.6 Cluster Random Sampling 145 -- Review Practice Problems 151 -- Chapter 5 - Phase I Quality Control Charts for Variables 157 -- 5.1 Introduction 157 -- 5.2 Basic Definition of Quality and its Benefits 158 -- 5.3 Statistical Process Control 159 -- 5.4 Control Charts for Variables 170 -- 5.5 Shewhart and R Control Charts when Process Mean and Standard Deviation Known 194 -- 5.6 Process Capability 211 -- Review Practice Problems 213 -- Chapter 6 - Phase I Control Charts for Attributes 223 -- 6.1 Introduction 223 -- 6.2 Control Charts for Attributes 223 -- 6.3 The p chart: Control Chart for Fraction Nonconforming with Constant Samples Sizes 225 -- 6.4 The c-Control chart - Control chart for nonconformities per sample 237 -- 6.5 The U-Chart 242 -- Review Practice Problems 249 -- Chapter 7 - Phase II Control Charts for Detecting Small Shifts 256 -- 7.1 Introduction 256 -- 7.2 Basic Concepts of CUSUM Control Chart 257 -- 7.3 Designing a CUSUM Control Chart 261 -- 7.4 Moving Average Control Chart 279 -- 7.5 Exponentially Weighted Moving Average Control Chart 284 -- Review Practice Problems 292 -- Chapter 8 - Process and Measurement System Capability Analysis 298 -- 8.1 Introduction 298 -- 8.2 Development of Process Capability Indices 300 -- 8.3 Various Process Capability Indices 302 -- 8.4 The Pre-control 326 -- 8.5 Measurement System Capability Analysis 334 -- Review Practice Problems 354 -- Chapter 9 - ACCEPTANCE SAMPLING PLANS 363 -- 9.1 Introduction363 -- 9.2 The Intent of Acceptance of Sampling Plan 363 -- 9.3 Sampling Inspection Versus 100 Percent Inspection 364 -- 9.4 Classification of Sampling Plans 364 -- 9.5 Acceptance Sampling by Attributes 371 -- 9.6 Single Sampling Plans for Attributes 375 -- 9.7 Other Types of Sampling Plans for Attributes 376 -- 9.8 Sampling Standards and Plans 386 -- 9.9 Dodge-Romig Tables 392 -- 9.10 Acceptance Sampling Plans By variables 392 -- 9.11 Continuous Sampling Plans 399 -- Review Practice Problems 401 -- Chapter 10 - CPMPUTER RESOURCES TO SUPPORT SQC 427 -- 10.1 Introduction 427 -- 10.2 Using MINITAB -- 10.3 Using R -- 10.4 Using JMP -- 10.5 Using PYTHON.

Abstract:

"This book introduces Statistical Quality Control and elements of Six Sigma Methodology, both of which have widespread application. Chapter 1 of this book begins with a brief discussion of the different types of data encountered in various fields of statistical applications. Some terminology is also defined. Then, the authors introduce certain graphical and numerical tools needed to do some preliminary analysis of these data. In Chapter 2 the basic concept of statistical quality control (SQC) is discussed. The basic concept of Six Sigma Methodology is also introduced. In Chapter 3, the author briefly covers different types of sampling methods, which are encountered whenever we use sampling schemes to study certain populations. Chapter 4 discusses the Phase 1 Control Charts for variables. Phase 1 Control Charts for attributes is covered in Chapter 5. Next, the Phase II Control Charts to detect small shifts is discussed in Chapter 6. In Chapter 7, the author discusses the various types of Process Capability Indices (CPI). Next, in Chapter 8, the book covers certain aspects of Measurement System Analysis (MSA). The book continues with a discussion of various aspects of PRE-control in Chapter 9, which is an important tool of SQC. Chapter 10 covers various kinds of acceptance sampling schemes which are still used at certain places in the world. Finally, Chapter 11 discusses the latest version 19 of MINITAB and R. Using these software packages, the author covers various SQC techniques. After going through the material presented in this chapter, the reader will be able to analyze, using R and/or MINITAB, all the SQC techniques discussed in this book and implement them in various sectors whenever and wherever high-quality products are desired. Statistical quality control refers to the use of statistical methods in the monitoring and maintaining of the quality of products and services. One method, referred to as acceptance sampling, can be used when a decision must be made to accept or reject a group of parts or items based on the quality found in a sample. A second method, referred to as statistical process control, uses graphical displays known as control charts to determine whether a process should be continued or should be adjusted to achieve the desired quality."-- Provided by publisher.

Local Note:

John Wiley and Sons

Subject Term:

Quality control -- Statistical methods.

Six sigma (Quality control standard)

Qualité -- Contrôle -- Méthodes statistiques.

Six Sigma.

Quality Control.

BUSINESS & ECONOMICS.

TECHNOLOGY & ENGINEERING.

Quality control -- Statistical methods

Genre: