TY  - EJOU
AU  - Saengsura, Nongnuch 
AU  - Sukparungsee, Saowanit 
AU  - Areepong, Yupaporn 

TI  - Mixed Moving Average-Cumulative Sum Control Chart for Monitoring Parameter Change
T2  - Intelligent Automation \& Soft Computing

PY  - 2022
VL  - 31
IS  - 1
SN  - 2326-005X

AB  - In this research, we propose the new mixed control chart called the mixed Moving Average-Cumulative Sum (MA-CUSUM) control chart used for monitoring parameter changes in asymmetrical and symmetrical processes. Its efficiency was compared with that of the Shewhart, Cumulative Sum (CUSUM), Moving Average (MA), mixed Cumulative Sum-Moving Average (CUSUM-MA) and mixed Moving Average-Cumulative Sum (MA-CUSUM) control charts by using their average run lengths (ARLs), the standard deviation of the run length (SDRL), and median run length (MRL) <i>via</i> the Monte Carlo simulation (MC). The simulation results show that the MA-CUSUM control chart was more efficient than the other control charts for small-to-moderate parameter changes for all distributions tested. To compare their applicability to real-world situations, the control charts were applied to data for the River Nile flow from 1871–1930 and mine explosions in the UK from 1875–1951. It was found that the MA-CUSUM control chart could more quickly detect parameter changes than the other control charts.
KW  - Average run length; mixed control chart; moving average-cumulative sum control chart; cumulative sum control chart; moving average control chart; cumulative sum control chart

DO  - 10.32604/iasc.2022.019997