Work

A Nonparametric Repetitive Sampling DEWMA Control Chart Based on Linear Prediction

Year: 2020

Type: article

Abstract: Distribution-free control charts can be useful in statistical process control (SPC) when only limited or no information about the distribution of the data of the process is available. In this paper, a linear prediction related double exponentially weighted moving average (DEWMA) sign control chart using a repetitive sampling scheme (RSNPDEBLP) has been considered for a binomially distributed process variable to improve the efficiency of detecting small drifts in its place of small changes. The proposed RSNPDEBLP control chart is assessed in average run length (ARL) for the various values of sample sizes. The efficiency of the proposed RSNPDEBLP control chart is compared with the existing EWMA and DEWMA sign control charts using single sampling and repetitive sampling schemes in terms of ARLs. When there are small changes in the process after the stabilization period, the proposed control chart is used to control small trends rather than small shifts.

Source: IEEE Access

DOI: 10.1109/access.2020.2989132

Authors: Ambreen Shafqat, Zhensheng Huang, Muhammad Aslam, Muhammad Shujaat Nawaz

Institutions: Nanjing University of Science and Technology, King Abdulaziz University, National College of Business Administration and Economics, Government of Punjab

Language: English

Topic: Advanced Statistical Process Monitoring

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,750

Funder: National Natural Science Foundation of China