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Statistical quality control : a modern introduction
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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 QualityAbstract:
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 Appendixread more
Citations
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Book ChapterDOI
Implementing EWMA Yield Index for Product Acceptance Determination in Autocorrelation Between Linear Profiles
TL;DR: In this article, a new sampling plan based on the exponentially weighted moving average (EWMA) yield index for lot sentencing for autocorrelation between linear profiles is proposed, which is more economical than the traditional single sampling plan.
Journal Article
A study on the S2-EWMA chart for monitoring the process variance based on the MRL performance
TL;DR: In this paper, the authors proposed the optimal design of the S2-EWMA chart based on the median run length (MRL) for detecting small and moderate variance shifts, while maintaining almost the same sensitivity as the DS S2 and S charts toward large variance shifts.
Journal ArticleDOI
Optimal design of exponentially weighted moving average– chart for the mean with estimated process parameters
TL;DR: In this article, an optimal design of the exponentially weighted moving average (EWMA) chart with estimated process parameters in terms of average run length (ARL) and standard deviatio...
Journal ArticleDOI
On residual CUSUM statistic for PINAR(1) model in statistical design and diagnostic of control chart
Hanwool Kim,Sangyeol Lee +1 more
TL;DR: Numerical experiments show that the residual-based CUSUM test statistic in first-order Poisson integer-valued autoregressive (PINAR(1)) models can be good alternative to conventional C USUM charts when an effective detection and accurate change point estimation for small shifts are primary concerns.
Journal ArticleDOI
edcc: An R Package for the Economic Design of the Control Chart
Weicheng Zhu,Changsoon Park +1 more
TL;DR: An R package, edcc (economic design of control charts), which provides a numerical method to find the optimum chart parameters is presented using the unified approach of the economic design.