PERFORMANCE OF TWO-SIDED EWMA CEV CONTROL CHARTS WITH MULTIPLE CENSORED DATA

Authors

  • Pei-Hsi Lee School of Internet, Economics and Business, FuJian University of Technology.
  • Chau-Chen Torng Institute of Industrial Engineering and Management, National Yunlin University of Science & Technology, Taiwan
  • Pei-Hsuan Kao Institute of Industrial Engineering and Management, National Yunlin University of Science & Technology, Taiwan
  • Chao-Yu Chou Department of Finance, National Taichung University of Science and Technology. Taichung City, Taiwan

DOI:

https://doi.org/10.23055/ijietap.2022.29.4.6801

Abstract

Control charts are widely applied in process control. Life testing is time-consuming and expensive; thus, this testing typically has a termination condition that is based on the assumption of a single failure mode. The lifetimes of unfailed units are known as right-censored data, and conditional expected value (CEV) control charts are effective for monitoring right-censored data. However, life testing may produce multiple censored data due to there being multiple failure modes. The occurrence of these failure modes is unpredictable, and thus the censored proportion cannot be known in advance. The exponentially weighted moving average (EWMA) control chart has a high sensitivity for detecting small mean shifts. In this paper, two charting methods for monitoring multiple censored data were developed: a two-sided EWMA CEV control chart and a combination of two single-sided EWMA CEV charts. A multi-objective model was established to optimize the design parameter values for the two types of control charts by using the multi-objective genetic algorithm. The charting methods were compared theoretically and with the practical example of liquid crystal display modules. The results demonstrate that the two-sided EWMA CEV control chart is generally more effective than the combination of two single-sided EWMA CEV control charts for monitoring multiple censored data. Moreover, if a large range and high censoring proportion are used to optimize the model design, increasing the sample size can always improve the performance of the EWMA CEV control chart.

Author Biographies

Pei-Hsi Lee, School of Internet, Economics and Business, FuJian University of Technology.

Pei-Hsi Lee is an associate professor in School of Internet, Economics and Business, FuJian University of Technology. He received his PhD from Institute of Industrial Engineering and Management, National Yunlin University of Science & Technology. He worked in the rubber industry for seven years, and his main job is the development of intelligent quality management systems. His research interest is in statistical process control and reliability engineering.

Chau-Chen Torng, Institute of Industrial Engineering and Management, National Yunlin University of Science & Technology, Taiwan

Chau-Chen Torng is a professor in Institute of Industrial Engineering and Management, National Yunlin University of Science & Technology. He received her PhD from Arizona State University. His research interest is in statistical process control; six sigma and design of experiment.

Pei-Hsuan Kao, Institute of Industrial Engineering and Management, National Yunlin University of Science & Technology, Taiwan

Pei-Hsuan Kao is a graduate student in Institute of Industrial Engineering and Management, National Yunlin University of Science & Technology. Her research interest is in statistical process control.

Chao-Yu Chou, Department of Finance, National Taichung University of Science and Technology. Taichung City, Taiwan

Chao-Yu Chou

Professor,

Email: choucy@nutc.edu.tw

Telephone number: +886422196035

Fax: +886422196181

Department of Finance,

National Taichung University of Science and Technology

No. 129, Sec. 3, Sanmin Road, Taichung 404, Taiwan

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Published

2022-08-15

How to Cite

Lee, P.-H., Torng, C.-C., Kao, P.-H., & Chou, C.-Y. (2022). PERFORMANCE OF TWO-SIDED EWMA CEV CONTROL CHARTS WITH MULTIPLE CENSORED DATA. International Journal of Industrial Engineering: Theory, Applications and Practice, 29(4). https://doi.org/10.23055/ijietap.2022.29.4.6801

Issue

Vol. 29 No. 4 (2022)

Section

Quality, Reliability, Maintenance Engineering

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