Volume 8, Number 6 (3-2015)                   payavard 2015, 8(6): 492-505 | Back to browse issues page


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Reihani Yasavoli A, Tabatabaee S S, Moghadasian M, Nazemi S, Shahbahrami H, Kalhor R. Application Of Gray Multi Criteria Decision Making In Purchasing Hospital Anesthesia Equipment. payavard. 2015; 8 (6) :492-505
URL: http://payavard.tums.ac.ir/article-1-5611-en.html

1- Ph.D Student in Human Resources Management, Management Department, School of Literature and Humanities, Azad University of Kerman, Kerman, Iran
2- Ph.D Student in Health Services Management, Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
3- Master of Sciences in Industrial Management, School of Administrative and Economics, Ferdowsi University of Mashhad, Mashhad, Iran
4- Associated Professor, Management Department, School of Administrative and Economics, Ferdowsi University of Mashhad, Mashhad, Iran
5- Bachlor of Sciences in Industrial Engineering, School of Industrial, Mazandaran Institute Technology, Babol, Iran
6- Assistant Professor, Health Services Management Department, School of Public Health, Qazvin University of Medical Sciences, Qazvin, Iran , R.kalhor@gmail.com
Abstract:   (3890 Views)

Background and Aim: Purchasing hospital equipment is one of the most important decisions made by managers and health professionals. Gray systems theory is an approach to deal with issues under uncertainty conditions where decision makers are facing a small number of unspecified data. The purpose of this paper is to apply the gray theory for the purchase of anesthesia machine .

Materials and Methods: This study was a survey in which mathematical analysis was used. Data collection devices included documents, interviews and questionnaires. In order to solve multiple criteria decision making in uncertain conditions, a model based on gray system theory was used. Data analysis was performed using Excel software.

Results: The findings show that among anesthetic equipment bought by public and private hospitals, brand A is superior to other brands. However, the gray possibility degree for the other brands is significantly different from brand A.

Conclusion: In addition to helping to purchase anesthetic equipment for hospitals, the results of this study are also useful for companies manufacturing medical equipment to evaluate their situation in terms of the studied criteria and take appropriate measures to develop their strengths and improve their weaknesses.

Full-Text [PDF 417 kb]   (1089 Downloads)    
Type of Study: Research | Subject: Hospital Managment
Received: 2015/05/11 | Accepted: 2015/05/11 | Published: 2015/05/11

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