Vendor evaluation platform for acquisition of medical equipment based on multi-criteria decision-making approach

The purchase of medical equipment is a critical issue that should be planned properly. The selection of the most appropriate vendor impacts time, effort, and expenses. Therefore, the challenge is to strike a balance between the available budget and the required equipment. The study aims to select th...

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Bibliographic Details
Published in:	Scientific reports Vol. 13; no. 1; p. 12746
Main Authors:	Saleh, Neven, Gaber, Mohamed N., Eldosoky, Mohamed A., Soliman, Ahmed M.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 07-08-2023 Nature Publishing Group Nature Portfolio
Subjects:	639/166 639/705 692/700 Decision making Emergency medical care Emergency medical services Entropy Humanities and Social Sciences Medical equipment multidisciplinary Multiple criteria decision making Science Science (multidisciplinary)
Online Access:	Get full text
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Summary:	The purchase of medical equipment is a critical issue that should be planned properly. The selection of the most appropriate vendor impacts time, effort, and expenses. Therefore, the challenge is to strike a balance between the available budget and the required equipment. The study aims to select the best vendor for supplying medical equipment based on Emergency Care Research Institute (ECRI) standards. The multi-criteria decision-making approach has been adopted through three methods; Multi-Objective Optimization by Ratio Analysis (MOORA), Simple Additive Weighting (SAW), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The criteria of selection are divided into general, technical, and financial. The criteria are weighted using three methods: CRITIC, entropy, and expert judgment. The Vendor Evaluation Program for Medical Equipment (VEPME) is designed to automatically select the best vendor. Medical imaging equipment is selected to test the program by four modalities: X-ray equipment, CT, MRI, and ultrasound. The best scenario was given by the entropy-TOPSIS. As a result, this methodology was adopted by the program. The results demonstrate the robustness of the proposed methodology by comparing the VEPME output to expert judgment.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	2045-2322 2045-2322
DOI:	10.1038/s41598-023-38902-3