Description
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 METHODOLOGY20 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 Graphically52 3.5 Analyzing Data Using Numerical Tools 71 3.6 Some Important Probability Distributions 87 Review Practice Problems107 Chapter 4 – SAMPLING METHODS 118 4.1 Introduction 118 4.2 Basic Concepts of Sampling 118 4.3 Simple Random Sampling123 4.4 Stratified Random Sampling 132 4.5 Systematic Random Sampling139 4.6 Cluster Random Sampling145 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 Benefits158 5.3 Statistical Process Control159 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 Capability211 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 Sizes225 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 Shifts256 7.1 Introduction 256 7.2 Basic Concepts of CUSUM Control Chart257 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 Problems292 Chapter 8 – Process and Measurement System Capability Analysis 298 8.1 Introduction 298 8.2 Development of Process Capability Indices300 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 Introduction427 10.2 Using MINITAB 10.3 Using R 10.4 Using JMP 10.5 Using PYTHON
