Yazdani, Morteza and Ebadi Torkayesh, Ali and Chatterjee, Prasenjit (2020) An integrated decision-making model for supplier evaluation in public healthcare system: the case study of a Spanish hospital. Journal of Enterprise Information Management, 33 (5). pp. 965-989. ISSN 1741-0398
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Official URL: https://dx.doi.org/10.1108/JEIM-09-2019-0294
Abstract
Purpose: In this study, an integrated decision-making model consisting of decision-making trial and evaluation laboratory (DEMATEL), best worst method (BWM) and a modified version of evaluation based on distance from average solution (EDAS) methods is proposed for supplier selection problem in a public procurement system considering sustainable development goals. Design/methodology/approach: DEMATEL and BWM methods are used to determine weights of the criteria that are defined for the supplier selection problem. Weight aggregation method is applied to combine the weights obtained from these two methods. A modified version of EDAS method is then used in order to rank the alternative suppliers. Findings: The proposed decision-making model is investigated for a supplier selection problem for a hospital in Spain. The validity of the results is checked using comparison with other decision-making methods and several performance analysis tests. Practical implications: The proposed multi-criteria decision-making (MCDM) model contributes to the healthcare supply chain management (SCM) and aims to lead the policy makers in selecting the best supplier. Originality/value: There is no such study that combines DEMATEL and BWM together for weight generation. The application of the modified EDAS method is also new. In real time situations, the decision experts may confront to the difficulty of using BWM while identifying the best and the worst criteria choices. The idea of using DEMATEL is to aid the experts to make them enable in distinguishing between the best/worst criteria and handle BWM easily.
Item Type: | Article |
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Uncontrolled Keywords: | BWM; DEMATEL; Modified EDAS; Public procurement; Supplier selection; Weight aggregation |
Divisions: | Faculty of Engineering and Natural Sciences |
Depositing User: | Ali Ebadi Torkayesh |
Date Deposited: | 02 Aug 2023 11:39 |
Last Modified: | 02 Aug 2023 11:39 |
URI: | https://research.sabanciuniv.edu/id/eprint/46785 |