Multi-objective design of risk-adjusted exponentially weighted moving average control chart to monitor patients' survival time using decision-making techniques

Subject Areas : Industrial Management

Amir Nasiri Pour ¹ , Amir Azizi ² , Ayub Rahimzadeh ³ , Mohammad Javad Ershadi ⁴ , Masoomeh Zeinalnezhad ⁵

1 - Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
3 - Department of Industrial Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
4 - Information Technology Department, Iranian Research Institute for Information Science and Technology (IRANDOC), Tehran, Iran
5 - Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran.

Received: 2024-01-28 Accepted : 2024-04-25 Published : 2024-09-09

Keywords: control chart, exponentially weighted moving average, Pareto optimization, risk adjustment, TOPSIS.,

Abstract :

In recent years, much attention has been paid to the development of control charts for monitoring healthcare systems. Based on this, the aim of this paper is to design a multi-objective risk-adjusted exponentially weighted moving average control chart in order to detect decreasing changes in patients' survival time. Before undergoing surgery, patients have various risk factors that affect the surgical process. Therefore, risk adjustment in the design of the proposed control chart is done with the aim of considering the effect of the preoperative risk factors of each patient on his survival time and using the accelerated failure time model. In order to use the proposed control chart, it is necessary to determine the design parameters in such a way that the desired economic and statistical properties are satisfied simultaneously. As a result, a multi-objective model is proposed, which is solved by a two-stage approach based on the Pareto optimization and the TOPSIS technique. The performance of the proposed approach has been investigated in one of the medical centers of Kermanshah city, and a comparison with the pure economic design model for the multi-objective design model in the presence of multiple assignable causes has also been considered. By increasing the cost by a small amount, it shows more favorable and better statistical performance. In this paper, a new approach of the multi-objective problem for the statistical economic design of the risk-adjusted control chart has been modeled according to its application in healthcare systems.

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