Prioritizing and Evaluating Risks of Ordering and Prescribing in the Chemotherapy Process Using an Extended SWARA and MOORA under Fuzzy Z-numbers

Saeid Jafarzadeh Ghoushchi; Sara Sarvi

doi:10.31181/jopi1120238

Authors

Saeid Jafarzadeh Ghoushchi Faculty of Industrial Engineering, Urmia University of Technology, Iran Author https://orcid.org/0000-0003-3665-9010
Sara Sarvi Faculty of Industrial Engineering, Urmia University of Technology, Iran Author https://orcid.org/0009-0007-2759-4442

DOI:

https://doi.org/10.31181/jopi1120238

Keywords:

Risk assessment, Risk prioritization, Dispensing process, Ordering process, Clinical chemistry, Failure mode and effects analysis (FMEA), Fuzzy SWARA, MOORA-Z method, Z-number theory, Process improvement, Process quality Risk reduction

Abstract

Assessing and prioritizing risks in the chemotherapy ordering and prescribing processes is crucial to improving their safety and quality. While FMEA is commonly used for this purpose, it has some limitations. To overcome these limitations, a three-stage approach was proposed in this study to enhance the FMEA method. The first stage involved using FMEA to identify and assign values to the RPN parameters. In the second stage, the fuzzy SWARA method and expert opinions were used to calculate the weights of the three factors. Finally, in the third stage, the risks were prioritized using the Z-MOORA approach, which provides more accurate results due to its consideration of different factor weights, uncertainty, and the use of the Z-number theory for reliability.

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Author Biographies

Saeid Jafarzadeh Ghoushchi, Faculty of Industrial Engineering, Urmia University of Technology, Iran

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Sara Sarvi, Faculty of Industrial Engineering, Urmia University of Technology, Iran

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