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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
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Optimal designs of the median run length based double sampling X chart for minimizing the average sample size.
TL;DR: This paper proposes two optimal designs of the MRL-based DS chart, for minimizing (i) the in-control average sample size (ASS) and (ii) both the out-of-control ASSs.
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Improved statistical features-based control chart patterns recognition using ANFIS with fuzzy clustering
Munawar Zaman,Adnan Hassan +1 more
TL;DR: Results indicate that the proposed hybrid method (FCM-ANFIS) has a smaller set of features and compact recognizer design without the need of optimizing algorithm, which is comparable to published results in the literature.
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Implementation of multivariate cumulative sum control charts in mastitis and lameness monitoring.
TL;DR: The results indicate that the monitoring systems with these study characteristics have appealing features for mastitis and lameness detection, however, they are not yet directly applicable for practical implementations.
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Monitoring of Time‐Between‐Events with a Generalized Group Runs Control Chart
TL;DR: Overall, it is found that the proposed chart outperforms the existing TBE charts, such as the T, Tr, EWMA-T, Synth-Tr, and GR-Tr charts.
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The variable sampling interval control chart for finite-horizon processes
TL;DR: In this paper, the authors investigate the issues related to the implementation of the VAE in a process with a limited production horizon and propose an online quality control monitoring using control charts to eliminate scrap or rework and meet demand at the time specified by the production plan.