Monitoring reliability for a gamma distribution with a double progressive mean control chart

2020 ◽  
Author(s):  
Vasileios Alevizakos ◽  
Christos Koukouvinos
Keyword(s):  
Control Chart ◽  
Gamma Distribution ◽  
Monitoring Reliability

scholarly journals A new sudden death chart for the Weibull distribution under complexity

2021 ◽  
Author(s):  
Osama H. Arif ◽  
Muhammad Aslam
Keyword(s):  
Sudden Death ◽  
Control Chart ◽  
Control Process ◽  
Value Addition ◽  
Detection Ability ◽  
Classical Statistics ◽  
Monitoring Reliability ◽  
Neutrosophic Statistics ◽  
Industrial Use ◽  
Run Lengths

AbstractThis article presents a new control chart for monitoring reliability using sudden death testing under the neutrosophic statistics (NS). The average run lengths of the in-control and the out-of-control process have been determined for evaluating the quick detection ability for small and moderate shifts. For the industrial use, tables and figures have been presented for different parameters. The proposed control chart is efficient in comparison with the existing control chart under classical statistics and value addition in the toolkit of the quality control personnel.

scholarly journals New Control Charts for a Multivariate Gamma Distribution

2021 ◽  
pp. 607-614
Author(s):  
Hamzeh Torabi ◽  
Shohreh Enami ◽  
STA Niaki
Keyword(s):  
Control Chart ◽  
Gamma Distribution ◽  
Control Charts ◽  
Normal Approximation ◽  
Average Run Length ◽  
Exact Distribution ◽  
Run Length ◽  
Multivariate Gamma Distribution ◽  
Satterthwaite Approximation

In this study, a multivariate gamma distribution is first introduced. Then, by defining a new statistic, three control charts called the MG charts, are proposed for this distribution. The first control chart is based on the exact distribution of this statistic, the second control chart is based on the Satterthwaite approximation, and the last is based on the normal approximation. Efficiency of the proposed control charts is evaluated by average run length (ARL) criterion.

scholarly journals A Control Chart for Gamma Distribution using Multiple Dependent State Sampling

2017 ◽  
Vol 16 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Muhammad Aslam ◽  
Osama-H. Arif ◽  
Chi-Hyuck Jun
Keyword(s):  
Control Chart ◽  
Gamma Distribution ◽  
Dependent State

scholarly journals Monitoring the Process Based on Belief Statistic for Neutrosophic Gamma Distributed Product

Processes ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 209 ◽  
Author(s):  
Muhammad Aslam ◽  
Rashad A. R. Bantan ◽  
Nasrullah Khan
Keyword(s):  
Control Chart ◽  
Gamma Distribution ◽  
Average Run Length ◽  
Simulation Data ◽  
Run Length ◽  
Classical Statistics ◽  
The Mean ◽  
Uncertainty Environment ◽  
Mean Time

In this paper, we developed a control chart methodology for the monitoring the mean time between two events using the belief estimator under the neutrosophic gamma distribution. The proposed control chart coefficients and the neutrosophic average run length (NARL) have been determined using different process settings. The performance of the proposed chart is compared with the control chart under classical statistics in terms of NARL using the simulation data and real example. From comparisons, it is concluded that the proposed chart is efficient, effective and adequate to be used under uncertainty environment than the chart under classical statistics.

A control chart for the Gamma distribution as a model of time between events

2007 ◽  
Vol 45 (23) ◽  
pp. 5649-5666 ◽  
Author(s):  
C. W. Zhang ◽  
M. Xie ◽  
J. Y. Liu ◽  
T. N. Goh
Keyword(s):  
Control Chart ◽  
Gamma Distribution
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