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Statistical quality control : a modern introduction

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TLDR
Part I: Introduction Chapter 1: Quality Improvement in the Modern Business Environment Chapter 2: The DMAIC Process Chapter 3: Statistical Methods Useful in Quality Control and Improvement Chapter 4: Inferences about Process Quality
Abstract
Part I: Introduction Chapter 1: Quality Improvement in the Modern Business Environment Chapter 2: The DMAIC Process Part II: Statistical Methods Useful in Quality Control and Improvement Chapter 3: Modeling Process Quality Chapter 4: Inferences about Process Quality Part III: Basic Methods of Statistical Process Control and Capability Analysis Chapter 5: Methods and Philosophy of Statistical Process Control Chapter 6: Control Charts for Variables Chapter 7: Control Charts for Attributes Chapter 8: Process and Measurement System Capability Analysis Part IV: Other Statistical Process-Monitoring and Control Techniques Chapter 9: Cumulative Sum and Exponentially Weighted Moving Average Control Charts Chapter 10: Other Univariate Statistical Process Monitoring and Control Techniques Chapter 11: Multivariate Process Monitoring and Control Chapter 12: Engineering Process Control and SPC Part V: Process Design and Improvement with Designed Experiments Chapter 13: Factorial and Fractional Experiments for Process Design and Improvements Chapter 14: Process Optimization and Designed Experiments Part VI: Acceptance Sampling Chapter 15: Lot-by-Lot Acceptance Sampling for Attributes Chapter 16: Other Acceptance Sampling Techniques Appendix

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Journal ArticleDOI

Monitoring the Ratio of Two Normal Variables Using EWMA Type Control Charts

TL;DR: Two one-sided exponentially weighted moving average (EWMA) charts with subgroups having sample size n > 1 to monitor the ratio of two normal random variables are proposed.
Journal ArticleDOI

Designing a variables two-plan sampling system of type TNTVSS-(nT, nN; k) for controlling process fraction nonconforming with unilateral specification limit

TL;DR: In this article, a two-plan sampling system involving normal and tightened inspections is proposed for controlling process fraction nonconforming with a unilateral specification limit based on one-sided capability indices.
Journal ArticleDOI

Optimal Designs of the Variable Sample Size X¯Chart Based on Median Run Length and Expected Median Run Length

TL;DR: The comparative study reveals that improvements in the detection speed are found for these two VSS schemes without increasing the in-control average sample size, and the optimal VSS X chart with n1 = nL significantly outperforms the optimal EWMA X chart.
Journal ArticleDOI

Design and implementation issues for a class of distribution-free Phase II EWMA exceedance control charts

TL;DR: The choice of the Phase I (reference) sample order statistic used in the design of the control chart is investigated and the exact time-varying control limits and the median run-length are used as the metric in an in-depth performance study.
Journal ArticleDOI

Five-axis machine tools accuracy condition monitoring based on volumetric errors and vector similarity measures

TL;DR: Amongst the studied VSMs, the module of the vectorial difference of two consecutive VE vectors and the angle between those vectors are more stable and perform better for monitoring faults with sudden and gradual changes than the remaining VSMs in real VE data processing.
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