scholarly journals A Hybrid Multi-Criteria Decision-Making Method Proposal For The Solution Of The Packaging Supplier Selection Problem

2021 ◽  
Vol 10 (2) ◽  
pp. 1118-1139
Author(s):  
Özlem KARADAĞ ALBAYRAK
2020 ◽  
Vol 33 (5) ◽  
pp. 965-989 ◽  
Author(s):  
Morteza Yazdani ◽  
Ali Ebadi Torkayesh ◽  
Prasenjit Chatterjee

PurposeIn 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/approachDEMATEL 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.FindingsThe 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 implicationsThe 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/valueThere 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.


2011 ◽  
Vol 186 ◽  
pp. 601-605
Author(s):  
Li Ping Huang ◽  
Jin Jin Li

Supplier selection is a MADM problem. In this paper, a new method to deal with the supplier selection problem is proposed. The work procedure is as follows: firstly, perfects the method of comparing grey numbers with their probability distribution. Secondly, applies the method of multiple attribute decision making based on dominance-base rough sets to the supplier selection problem. Finally, an example of supplier selection problem is used to illustrate the proposed approach.


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