Improved CEM–RBS control charts for monitoring the process mean using ranked–based sampling designs

Document Type : Research Article

Authors

1 Department of Statistics, National College of Business Administration and Economics, Lahore, Pakistan.

2 Department of Statistics, COMSATS University Islamabad, Lahore Campus, Pakistan.

10.24200/sci.2022.57495.5268

Abstract

In this study, different Ranked-Based Sampling (RBS) schemes are used to design a sensitive control chart to monitor the small or moderate shifts in the process mean, and are named combined Exponentially Weighted Moving Average (EWMA) Moving Average (MA) RBS (CEM-RBS) control charts. The Average Run-Length (ARL) and the Standard Deviation of the Run-Length (SDRL) are computed through Monte Carlo (MC) simulation runs to evaluate the performance of the proposed charts in comparison with the existing charts such as MA, EWMA, EWMA-MA, and the EWMA under RBS control charts. It is proved through a comparative study that the proposed CEM–RBS charts indicate a significant improvement in the performance of the EWMA-MA chart by using the RBS concept. A real dataset-based example is also included to explain the concept in detail.

Keywords

Main Subjects


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Volume 32, Issue 12
Transactions on Industrial Engineering
May and June 2025 Article ID:5268
  • Receive Date: 08 January 2021
  • Revise Date: 20 September 2022
  • Accept Date: 31 October 2022