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Journal ArticleDOI

Time-Series Modeling for Statistical Process Control

TLDR
This work proposes and illustrates statistical modeling and fitting of time-series effects and the application of standard control-chart procedures to the residuals from these fits.
Abstract
In statistical process control, a state of statistical control is identified with a process generating independent and identically distributed random variables. It is often difficult in practice to attain a state of statistical control in this strict sense; autocorrelations and other systematic time-series effects are often substantial. In the face of these effects, standard control-chart procedures can be seriously misleading. We propose and illustrate statistical modeling and fitting of time-series effects and the application of standard control-chart procedures to the residuals from these fits. The fitted values can be plotted separately to show estimates of the systematic effects.

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Citations
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Journal ArticleDOI

A multivariate exponentially weighted moving average control chart

TL;DR: In this article, a multivariate extension of the exponentially weighted moving average (EWMA) control chart is presented, and guidelines given for designing this easy-to-implement multivariate procedure.
Journal ArticleDOI

LSTM Fully Convolutional Networks for Time Series Classification

TL;DR: The augmentation of fully convolutional networks with long short term memory recurrent neural network (LSTM RNN) sub-modules for time series classification with attention mechanism and refinement as a method to enhance the performance of trained models are proposed.
Book

The Six Sigma Handbook: A Complete Guide for Green Belts, Black Belts, and Managers at All Levels

Thomas Pyzdek
TL;DR: In this paper, the authors describe the six-sigma infrastructure, six- Sigma goals and metrics, and how to select and track Six-Sigma Projects, as well as how to maintain control after the project.
Journal ArticleDOI

On-line outlier detection and data cleaning

TL;DR: The proposed data filter-cleaner includes an on-li ne outlier-resistant estimate of the process model and combines it with a modified Kalman filter to detect and “clean” outliers.
References
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Book

Time series analysis, forecasting and control

TL;DR: In this article, a complete revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970 is presented, focusing on practical techniques throughout, rather than a rigorous mathematical treatment of the subject.
Journal ArticleDOI

Time Series Analysis Forecasting and Control

TL;DR: This revision of a classic, seminal, and authoritative book explores the building of stochastic models for time series and their use in important areas of application —forecasting, model specification, estimation, and checking, transfer function modeling of dynamic relationships, modeling the effects of intervention events, and process control.
Book

Introduction to Statistical Quality Control

TL;DR: In this article, the authors present a survey of statistical process control and capability analysis techniques for improving the quality of a business process in the modern business environment, using a variety of techniques.
Journal ArticleDOI

Continuous inspection schemes