{"product_id":"introduction-to-statistical-quality-control-isbn-9781119723097","title":"Introduction to Statistical Quality Control","description":"\u003cp\u003eOnce 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.\u003c\/p\u003e \u003cp\u003eAdopting 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, and incorporation of Minitab statistics software, provides students with a solid base of conceptual and practical knowledge.\u003c\/p\u003e \u003cp\u003eOC Content available in eBook\u003c\/p\u003e \u003cp\u003eSS Student solution available in interactive e-text\u003c\/p\u003e \u003cp\u003eAbout the Author iii\u003c\/p\u003e \u003cp\u003ePreface v\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Quality Improvement in the Modern Business Environment 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 3\u003c\/p\u003e \u003cp\u003e1.1. The Meaning of Quality and Quality Improvement 3\u003c\/p\u003e \u003cp\u003e1.2. A Brief History of Quality Control and Improvement 9\u003c\/p\u003e \u003cp\u003e1.3. Statistical Methods for Quality Control and Improvement 13\u003c\/p\u003e \u003cp\u003e1.4. Management Aspects of Quality Improvement 16\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 The DMAIC Process 47\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 47\u003c\/p\u003e \u003cp\u003e2.1. Overview of DMAIC 47\u003c\/p\u003e \u003cp\u003e2.2. The Define Step 50\u003c\/p\u003e \u003cp\u003e2.3. The Measure Step 52\u003c\/p\u003e \u003cp\u003e2.4. The Analyze Step 53\u003c\/p\u003e \u003cp\u003e2.5. The Improve Step 54\u003c\/p\u003e \u003cp\u003e2.6. The Control Step 55\u003c\/p\u003e \u003cp\u003e2.7. Examples of DMAIC 56\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2 Statistical Methods Useful in Quality Control and Improvement 63\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Modeling Process Quality 65\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 65\u003c\/p\u003e \u003cp\u003e3.1. Describing Variation 65\u003c\/p\u003e \u003cp\u003e3.2. Important Discrete Distributions 79\u003c\/p\u003e \u003cp\u003e3.3. Important Continuous Distributions 85\u003c\/p\u003e \u003cp\u003e3.4. Probability Plots 96\u003c\/p\u003e \u003cp\u003e3.5. Some Useful Approximations 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Inferences About Process Quality 103\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 103\u003c\/p\u003e \u003cp\u003e4.1. Statistics and Sampling Distributions 104\u003c\/p\u003e \u003cp\u003e4.2. Point Estimation of Process Parameters 109\u003c\/p\u003e \u003cp\u003e4.3. Statistical Inference for a Single Sample 111\u003c\/p\u003e \u003cp\u003e4.4. Statistical Inference for Two Samples 128\u003c\/p\u003e \u003cp\u003e4.5. What if There Are More than Two Populations? The Analysis of Variance 143\u003c\/p\u003e \u003cp\u003e4.6. Linear Regression Models 152\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3 Basic Methods of Statistical Process Control and Capability Analysis 173\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Methods and Philosophy of Statistical Process Control 175\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 175\u003c\/p\u003e \u003cp\u003e5.1. Introduction 175\u003c\/p\u003e \u003cp\u003e5.2. Chance and Assignable Causes of Quality Variation 176\u003c\/p\u003e \u003cp\u003e5.3. Statistical Basis of the Control Chart 177\u003c\/p\u003e \u003cp\u003e5.4. The Rest of the Magnificent Seven 195\u003c\/p\u003e \u003cp\u003e5.5. Implementing SPC in a Quality Improvement Program 201\u003c\/p\u003e \u003cp\u003e5.6. An Application of SPC 202\u003c\/p\u003e \u003cp\u003e5.7. Applications of Statistical Process Control and Quality Improvement Tools in Transactional and Service Businesses 208\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Control Charts for Variables 218\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 218\u003c\/p\u003e \u003cp\u003e6.1. Introduction 218\u003c\/p\u003e \u003cp\u003e6.2. Control Charts for \u003ci\u003ex̄ \u003c\/i\u003eand \u003ci\u003eR\u003c\/i\u003e 219\u003c\/p\u003e \u003cp\u003e6.3. Control Charts for \u003ci\u003ex̄ \u003c\/i\u003eand \u003ci\u003es\u003c\/i\u003e 242\u003c\/p\u003e \u003cp\u003e6.4. The Shewhart Control Chart for Individual Measurements 250\u003c\/p\u003e \u003cp\u003e6.5. Summary of Procedures for \u003ci\u003ex̄,\u003c\/i\u003e \u003ci\u003eR,\u003c\/i\u003e and \u003ci\u003es \u003c\/i\u003eCharts 260\u003c\/p\u003e \u003cp\u003e6.6. Applications of Variables Control Charts 261\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Control Charts for Attributes 265\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 265\u003c\/p\u003e \u003cp\u003e7.1. Introduction 265\u003c\/p\u003e \u003cp\u003e7.2. The Control Chart for Fraction Nonconforming 266\u003c\/p\u003e \u003cp\u003e7.3. Control Charts for Nonconformities (Defects) 289\u003c\/p\u003e \u003cp\u003e7.4. Choice Between Attributes and Variables Control Charts 307\u003c\/p\u003e \u003cp\u003e7.5. Guidelines for Implementing Control Charts 311\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Process and Measurement System Capability Analysis 317\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 317\u003c\/p\u003e \u003cp\u003e8.1. Introduction 317\u003c\/p\u003e \u003cp\u003e8.2. Process Capability Analysis Using a Histogram or a Probability Plot 319\u003c\/p\u003e \u003cp\u003e8.3. Process Capability Ratios 323\u003c\/p\u003e \u003cp\u003e8.4. Process Capability Analysis Using a Control Chart 336\u003c\/p\u003e \u003cp\u003e8.5. Process Capability Analysis Using Designed Experiments 338\u003c\/p\u003e \u003cp\u003e8.6. Process Capability Analysis with Attribute Data 339\u003c\/p\u003e \u003cp\u003e8.7. Describing Capability for Many Processes 340\u003c\/p\u003e \u003cp\u003e8.8. Gauge and Measurement System Capability Studies 341\u003c\/p\u003e \u003cp\u003e8.9. Setting Specification Limits on Discrete Components 360\u003c\/p\u003e \u003cp\u003e8.10. Estimating the Natural Tolerance Limits of a Process 366\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4 Other Statistical Process-Monitoring and Control Techniques 369\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Cumulative Sum and Exponentially Weighted Moving Average Control Charts 371\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 371\u003c\/p\u003e \u003cp\u003e9.1. The Cumulative Sum Control Chart 372\u003c\/p\u003e \u003cp\u003e9.2. The Exponentially Weighted Moving Average Control Chart 390\u003c\/p\u003e \u003cp\u003e9.3. The Moving Average Control Chart 400\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Other Univariate Statistical Process-Monitoring and Control Techniques 403\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 403\u003c\/p\u003e \u003cp\u003e10.1. Statistical Process Control for Short Production Runs 404\u003c\/p\u003e \u003cp\u003e10.2. Modified and Acceptance Control Charts 407\u003c\/p\u003e \u003cp\u003e10.3. Control Charts for Multiple-Stream Processes 412\u003c\/p\u003e \u003cp\u003e10.4. SPC with Autocorrelated Process Data 415\u003c\/p\u003e \u003cp\u003e10.5. Adaptive Sampling Procedures 431\u003c\/p\u003e \u003cp\u003e10.6. Economic Design of Control Charts 433\u003c\/p\u003e \u003cp\u003e10.7. Cuscore Charts 442\u003c\/p\u003e \u003cp\u003e10.8. The Changepoint Model for Process Monitoring 444\u003c\/p\u003e \u003cp\u003e10.9. Profile Monitoring 445\u003c\/p\u003e \u003cp\u003e10.10. Control Charts in Health Care Monitoring and Public Health Surveillance 449\u003c\/p\u003e \u003cp\u003e10.11. Overview of Other Procedures 450\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Multivariate Process Monitoring and Control 458\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 458\u003c\/p\u003e \u003cp\u003e11.1. The Multivariate Quality-Control Problem 459\u003c\/p\u003e \u003cp\u003e11.2. Description of Multivariate Data 460\u003c\/p\u003e \u003cp\u003e11.3. The Hotelling \u003ci\u003eT\u003c\/i\u003e\u003csup\u003e2\u003c\/sup\u003e Control Chart 462\u003c\/p\u003e \u003cp\u003e11.4. The Multivariate EWMA Control Chart 473\u003c\/p\u003e \u003cp\u003e11.5. Regression Adjustment 476\u003c\/p\u003e \u003cp\u003e11.6. Control Charts for Monitoring Variability 479\u003c\/p\u003e \u003cp\u003e11.7. Latent Structure Methods 482\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Engineering Process Control and SPC 488\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 488\u003c\/p\u003e \u003cp\u003e12.1. Process Monitoring and Process Regulation 488\u003c\/p\u003e \u003cp\u003e12.2. Process Control by Feedback Adjustment 489\u003c\/p\u003e \u003cp\u003e12.3. Combining SPC and EPC 500\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 5 Process Design and Improvement with Designed Experiments 505\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Factorial and Fractional Factorial Experiments for Process Design and Improvement 507\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 507\u003c\/p\u003e \u003cp\u003e13.1. What is Experimental Design? 507\u003c\/p\u003e \u003cp\u003e13.2. Examples of Designed Experiments in Process and Product Improvement 509\u003c\/p\u003e \u003cp\u003e13.3. Guidelines for Designing Experiments 512\u003c\/p\u003e \u003cp\u003e13.4. Factorial Experiments 514\u003c\/p\u003e \u003cp\u003e13.5. The 2\u003ci\u003e\u003csup\u003ek\u003c\/sup\u003e \u003c\/i\u003eFactorial Design 523\u003c\/p\u003e \u003cp\u003e13.6. Fractional Replication of the 2\u003ci\u003e\u003csup\u003ek\u003c\/sup\u003e \u003c\/i\u003eDesign 551\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Process Optimization with Designed Experiments 563\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 563\u003c\/p\u003e \u003cp\u003e14.1. Response Surface Methods and Designs 563\u003c\/p\u003e \u003cp\u003e14.2. Process Robustness Studies 572\u003c\/p\u003e \u003cp\u003e14.3. Evolutionary Operation 583\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 6 Acceptance Sampling 589\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Lot-by-Lot Acceptance Sampling for Attributes 591\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 591\u003c\/p\u003e \u003cp\u003e15.1. The Acceptance-Sampling Problem 591\u003c\/p\u003e \u003cp\u003e15.2. Single-Sampling Plans for Attributes 596\u003c\/p\u003e \u003cp\u003e15.3. Double, Multiple, and Sequential Sampling 606\u003c\/p\u003e \u003cp\u003e15.4. Military Standard 105E (ANSI\/ASQC Z1.4, ISO 2859) 615\u003c\/p\u003e \u003cp\u003e15.5. The Dodge–Romig Sampling Plans 623\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Other Acceptance-Sampling Techniques 627\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Overview and Learning Objectives 627\u003c\/p\u003e \u003cp\u003e16.1. Acceptance Sampling by Variables 627\u003c\/p\u003e \u003cp\u003e16.2. Designing a Variables-Sampling Plan with a Specified OC Curve 630\u003c\/p\u003e \u003cp\u003e16.3. MIL STD 414 (ANSI\/ASQC Z1.9) 631\u003c\/p\u003e \u003cp\u003e16.4. Other Variables Sampling Procedures 635\u003c\/p\u003e \u003cp\u003e16.5. Chain Sampling 636\u003c\/p\u003e \u003cp\u003e16.6. Continuous Sampling 638\u003c\/p\u003e \u003cp\u003e16.7. Skip-Lot Sampling Plans 641\u003c\/p\u003e \u003cp\u003eExercises E-1\u003c\/p\u003e \u003cp\u003eAppendix A-1\u003c\/p\u003e \u003cp\u003eOC Bibliography (Available in e-text for students) B-1\u003c\/p\u003e \u003cp\u003eIndex I-1\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989467119845,"sku":"NP9781119723097","price":141.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119723097.jpg?v=1761784216","url":"https:\/\/k12savings.com\/products\/introduction-to-statistical-quality-control-isbn-9781119723097","provider":"K12savings","version":"1.0","type":"link"}