Sharif University of Technology Scientia Iranica 1026-3098 Articles in Press 2023 09 03 Moving Average Control Charts using Uncertain Information for Various Sampling Schemes 23334 10.24200/sci.2023.59210.6111 EN Muhammad Aslam Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia 0000-0003-0644-1950 Srinivasa Rao Gadde Department of Statistics, School of Mathematical Sciences, CNMS, The University of Dodoma, Dodoma, PO. Box: 259, Tanzania 0000-0002-3683-5486 Nasrullah Khan Department of Statistics, College of Veterinary and Animal Sciences, Jhang, University of Veterinary and Animal Sciences Lahore (Pakistan) Journal Article 2021 10 07 Present article proposes the neutrosophic moving average (NMA) control chart under neutrosophic statistics (NS) based on multiple dependent state (MDS), Repetitive and multiple dependent state repetitive (MDSR) sampling schemes. The neutrosophic moving average control chart is useful to monitor the process mean in the industries when the measurements expressed in terms of uncertainty or fuzzy or interval. In this circumstance, the existing monitoring designs could not be useful for the monitoring of mean accident or injury data. In the present investigation neutrosophic moving average control chart is developed under the NS. The chart coefficients of the proposed control chart are obtained using Monte Carlo simulation under NS. A comparative study between the three sampling schemes of neutrosophic moving average control chart under neutrosophic statistics (NS) is given. Two real examples from accident and injury data are taken to investigate the accomplishment of the proposed chart. Based on the simulation study and real data, the proposed chart is out performed over the existing control charts. https://scientiairanica.sharif.edu/article_23334_4b7e4e5378747e86b6e55470411ccee2.pdf