In a period starting around 2007, the Hand, Foot, and Mouth Disease (HFMD) became wide-spreading in China, and the Chinese public health was seriously threatened. To prevent the outbreak of infectious diseases like HFMD, effective disease surveillance systems would be especially helpful to give signals of disease outbreaks as early as possible. Statistical process control (SPC) charts provide a...

Shewhart charts, also known as control charts, are important Statistical Process Control (SPC) techniques used for prompt detection of failures in a manufacturing process and minimization of production costs. Techniques have been used to find the chart’s parameters that best comply with economic and statistical requirements. In this paper a method that integrates a Greedy and a Tabu-Search (TS)...

OBJECTIVE Applying statistical process control (SPC) charts in perinatal mortality surveillance (as an epidemiological indicator). METHOD The control charts were prepared using 51,840 births; 286 cases were produced from these births. All information came from SUSALUD between January 2004 and December 2007. Two control charts are presented; the first one's central line was considered to be th...

Conventional Phase II statistical process control (SPC) charts are designed using control limits; a chart gives a signal of process distributional shift when its charting statistic exceeds a properly chosen control limit. To do so, we only know whether a chart is out-of-control (OC) at a given time. It is therefore not informative enough about the likelihood of a potential distributional shift....

Background: A systematic review is a rigorous method for assessing and aggregating research results. Unlike an ordinary literature review consisting of an annotated bibliography, a systematic review analyzes existing literature with reference to specific research questions on a topic of interest. Objective: Statistical Process Control (SPC) is a well established technique in manufacturing conte...

This paper considers statistical process control (SPC) of univariate processes, and tries to make two contributions to the univariate SPC problem. First, we propose a continuously variable sampling scheme, based on a quantitative measure of the likelihood of a process distributional shift at each observation time point, provided by the p-value of the conventional cumulative sum (CUSUM) charting...

This paper considers statistical process control (SPC) of univariate processes, and tries to make two contributions to the univariate SPC problem. First, we propose a continuously variable sampling scheme, based on a quantitative measure of the likelihood of a process distributional shift at each observation time point, provided by the p-value of the conventional cumulative sum (CUSUM) charting...

Our interest in the techno-mathematical literacies employees need in their jobs has led us to do case studies in different industrial sectors and to design learning opportunities for improving employees’ techno-mathematical literacies. We conceptualise the learning opportunities not as training or transfer, but as forms of ‘boundary crossing’ between employees from a company and us as researche...

Identification of the assignable causes of process variability and the restriction and elimination of their influence are the main goals of statistical process control (SPC). Identification of these causes is associated with so called tests for special causes or runs tests. From the time of the formulation of the first set of such rules (Western Electric rules) several different...

OBJECTIVE A variety of postmarketing surveillance strategies to monitor the safety of medical devices have been supported by the U.S. Food and Drug Administration, but there are few systems to automate surveillance. Our objective was to develop a system to perform real-time monitoring of safety data using a variety of process control techniques. DESIGN The Web-based Data Extraction and Longit...