Engineering Statistics Handbook Episode 8 Part 4

Tham khảo tài liệu 'engineering statistics handbook episode 8 part 4', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 6. Process or Product Monitoring and Control ENGINEERING STATISTICS HANDBOOK home TOOLS AIDS I SEAR-CH back next 6. Process or Product Monitoring and Control This chapter presents techniques for monitoring and controlling processes and signaling when corrective actions are necessary. 1. Introduction 2. Test Product for Acceptability 1. History 2. Process Control Techniques 3. Process Control 1. Acceptance Sampling 2. Kinds of Sampling Plans 3. Choosing a Single Sampling Plan 4. Out of Control 4. Double Sampling Plans 5. In Control but Unacceptable 6. Process Capability 5. Multiple Sampling Plans 6. Sequential Sampling Plans 7. Skip Lot Sampling Plans 3. Univariate and Multivariate Control Charts 4. Time Series Models 1. Definitions Applications and 1. Control Charts Techniques 2. Variables Control Charts 2. Moving Average or Smoothing 3. Attributes Control Charts Techniques 4. Multivariate Control charts 3. Exponential Smoothing 4. Univariate Time Series Models 5. Multivariate Time Series Models 5. Tutorials 6. Case Study 1. What do we mean by Normal data 2. What to do when data are non-normal 1. Lithography Process Data 2. Box-Jenkins Modeling Example 3. Elements of Matrix Algebra 4. Elements of Multivariate Analysis 5. Principal Components http div898 handbook pmc 1 of 2 5 1 2006 10 34 38 AM 6. Process or Product Monitoring and Control Detailed Table of Contents References NIST SEMATECH HOME TOOLS AIDS SEARCH BACK NEXT http div898 handbook pmc 2 of 2 5 1 2006 10 34 38 AM 6. Process or Product Monitoring and Control 3. Cusum Control Charts . 1. Cusum Average Run Length . 4. EWMA Control Charts . 3. What are Attributes Control Charts . 1. Counts Control Charts . 2. Proportions Control Charts . 4. What are Multivariate Control Charts . 1. Hotelling Control Charts . 2. Principal Components Control Charts . 3. Multivariate EWMA Charts . 4. Introduction

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