Work

A New Attribute Control Chart Using Multiple Dependent State Repetitive Sampling

Year: 2017

Type: article

Abstract: In this paper, a new attribute control chart using multiple-dependent state repetitive sampling is designed. The operational procedure and structure of the proposed control chart is given. The required measures to determine the average run length for in-control and out-of-control processes are given. Tables of ARLs are reported for various control chart parameters. The proposed control chart is more sensitive in detecting a small shift in the process as compared with the existing attribute control charts. The simulation study shows the efficiency of the proposed chart over the existing charts. An example is given for illustration purpose.

Source: IEEE Access

DOI: 10.1109/access.2017.2687523

Authors: Mansour Sattam Aldosari, Muhammad Aslam, Chi-Hyuck Jun

Institutions: King Abdulaziz University, Pohang University of Science and Technology

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: $2,075

Funder: King Abdulaziz City for Science and Technology