Cost-oriented LSTM methods for possible expansion of control charting signals

2021 ◽  
Vol 154 ◽  
pp. 107163
Author(s):  
Ramazan Ünlü
Keyword(s):  
Control Charting

SURVEILLANCE OF DIABETES PREVALENCE RATE THROUGH THE DEVELOPMENT OF A MARKOV-BASED CONTROL CHART

2012 ◽  
Vol 12 (04) ◽  
pp. 1250083
Author(s):  
PERSHANG DOKOUHAKI ◽  
RASSOUL NOOROSSANA
Keyword(s):  
Control Chart ◽  
Control Charts ◽  
High Performance ◽  
Discrete Data ◽  
Correlated Data ◽  
Statistical Process ◽  
Control Charting ◽  
Attribute Quality ◽  
Related Process

In the field of statistical process control (SPC), usually two issues are addressed; the variables and the attribute quality characteristics control charting. Focusing on discrete data generated from a process to be monitored, attributes control charts would be useful. The discrete data could be classified into two categories; the independent and auto-correlated data. Regarding the independence in the sequence of discrete data, the typical Shewhart-based control charts, such as p-chart and np-chart would be effective enough to monitor the related process. But considering auto-correlation in the sequence of the data, such control charts would not workanymore. In this paper, considering the auto-correlated sequence of X1, X2,…, Xt,… as the sequence of zeros or ones, we have developed a control chart based on a two-state Markov model. This control chart is compared with the previously developed charts in terms of the average number of observations (ANOS) measure. In addition, a case study related to the diabetic people is investigated to demonstrate the applicability and high performance of the developed chart.

A comparison of control charting procedures for monitoring process dispersion

1999 ◽  
Vol 31 (6) ◽  
pp. 569-579 ◽  
Author(s):  
CESAR A. ACOSTA-MEJIA ◽  
JOSEPH J. PIGNATIELLO ◽  
B. VENKATESHWARA RAO
Keyword(s):  
Control Charting ◽  
Monitoring Process ◽  
Process Dispersion

On efficient median control charting

2013 ◽  
Vol 37 (3) ◽  
pp. 358-375 ◽  
Author(s):  
Shabbir Ahmad ◽  
Muhammad Riaz ◽  
Saddam Akber Abbasi ◽  
Zhengyan Lin
Keyword(s):  
Control Charting

scholarly journals On enhanced control charting for process monitoring

2013 ◽  
Vol 8 (17) ◽  
pp. 759-775 ◽  
Author(s):  
Akber Abbasi Saddam ◽  
Riaz Muhammad
Keyword(s):  
Process Monitoring ◽  
Control Charting

scholarly journals Real-time monitoring of carbon monoxide using value-at-risk measure and control charting

2016 ◽  
Vol 44 (1) ◽  
pp. 89-108 ◽  
Author(s):  
Sotirios Bersimis ◽  
Stavros Degiannakis ◽  
Dimitrios Georgakellos
Keyword(s):  
At Risk ◽  
Carbon Monoxide ◽  
Real Time ◽  
Value At Risk ◽  
Risk Measure ◽  
Real Time Monitoring ◽  
Control Charting ◽  
And Control

CUMULATIVE SUM CONTROL CHARTING: AN UNDERUTILIZED SPC TOOL

1993 ◽  
Vol 5 (3) ◽  
pp. 463-477 ◽  
Author(s):  
DOUGLAS M. HAWKINS
Keyword(s):  
Cumulative Sum ◽  
Control Charting ◽  
Cumulative Sum Control

Statistical Process Control Charting Applied to the Analysis of Human Performance in Computer-Supported Environments

1994 ◽  
Vol 38 (4) ◽  
pp. 350-354
Author(s):  
Janine A. Purcell
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Transfer Of Learning ◽  
Human Performance ◽  
Individual Subject ◽  
Statistical Process ◽  
Control Charting ◽  
Human Operators ◽  
Machine Systems ◽  
Order Of Training

To develop usable Human-Machine Systems, we need Tools to evaluate and measure the length of learning periods, error rate, response time, and transfer of learning in the human operators of these systems (Whiteside, Bennett, and Holtzblatt, 1988). This research explores the use of Statistical Process Control (SPC) charts as a tool to visualize and analyze performance in a decision-making task. The data submitted to control charting was collected in an experiment that explored the effect of order of training or experience in working with alternate display formats. Results for an individual subject as well as a summary for one of the four experimental groups are discussed. Suggestions for further applications of these techniques are offered.

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