scholarly journals A New Control Chart for Monitoring Reliability Using Sudden Death Testing Under Weibull Distribution

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 23358-23365 ◽  
Author(s):  
Muhammad Aslam ◽  
Osama H. Arif ◽  
Chi-Hyuck Jun
Keyword(s):  
Sudden Death ◽  
Weibull Distribution ◽  
Control Chart ◽  
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 An attribute control chart for a Weibull distribution under accelerated hybrid censoring

PLoS ONE ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. e0173406 ◽  
Author(s):  
Muhammad Aslam ◽  
Osama H. Arif ◽  
Chi-Hyuck Jun
Keyword(s):  
Weibull Distribution ◽  
Control Chart ◽  
Hybrid Censoring

scholarly journals Testing of Grouped Product for the Weibull Distribution Using Neutrosophic Statistics

Symmetry ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 403 ◽  
Author(s):  
Muhammad Aslam ◽  
Osama Arif
Keyword(s):  
Sudden Death ◽  
Weibull Distribution ◽  
Failure Time ◽  
Fuzzy Optimization ◽  
Testing Time ◽  
Continuous Variables ◽  
Failure Data ◽  
Classical Statistics ◽  
Neutrosophic Statistics ◽  
Testing Plan

Parts manufacturers use sudden death testing to reduce the testing time of experiments. The sudden death testing plan in the literature can only be applied when all observations of failure time/parameters are crisp. In practice however, it is noted that not all measurements of continuous variables are precise. Therefore, the existing sudden death test plan can be applied if failure data/or parameters are imprecise, incomplete, and fuzzy. The classical statistics have the special case of neutrosophic statistics when there are no fuzzy observations/parameters. The neutrosophic fuzzy statistics can be applied for the testing of manufacturing parts when observations are imprecise, incomplete and fuzzy. In this paper, we will design an original neutrosophic fuzzy sudden death testing plan for the inspection/testing of the electronic product or parts manufacturing. We will assume that the lifetime of the product follows the neutrosophic fuzzy Weibull distribution. The neutrosophic fuzzy operating function will be given and used to determine the neutrosophic fuzzy plan parameters through a neutrosophic fuzzy optimization problem. The results of the proposed neutrosophic fuzzy death testing plan will be implemented with the aid of an example.

A HEWMA-CUSUM control chart for the Weibull distribution

2017 ◽  
Vol 47 (24) ◽  
pp. 5973-5985 ◽  
Author(s):  
Muhammad Aslam ◽  
Muhammad Azam ◽  
Chi-Hyuck Jun
Keyword(s):  
Weibull Distribution ◽  
Control Chart ◽  
Cusum Control Chart
Sign in / Sign up

Export Citation Format

Share Document