Designing a bi-level emergency medical centers' chain to increase the resilience of EMS's supply-chain using ACO-QAP: A case study of Tabriz

Ahmadi, Hamed; Samany‬, Najmeh Neysani; Ghanbari, Abolfazl; Argany, Meysam

doi:10.1016/j.ijdrr.2022.103259

Cited by 7 publications

(1 citation statement)

References 157 publications

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“…To respond to the demand for emergency supplies in time, many studies have investigated the emergency system mechanism, the supply side of emergency material, the locations of emergency facilities, and the reserve of emergency supplies from multiple perspectives and fields [ 17 , 20 , 29 , 30 , 31 , 32 , 33 ] and proposed evaluation criteria for emergency management systems, optimizing the supply chain of emergency supplies, selecting appropriate emergency supply suppliers, and other methods to meet the demand for the timely supply of emergency material [ 6 , 14 , 15 , 34 , 35 ]. Research on emergency material supplier selection can be applied to practical problems with a shorter response time, providing quick results at lower decision-making costs; this process has gradually become one of the mainstream trends in emergency response research [ 17 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

Liu

Zhu

Yang

et al. 2023

Entropy

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How to ensure the normal production of industries in an uncertain emergency environment has aroused a lot of concern in society. Selecting the best emergency material suppliers using the multicriteria group decision making (MCGDM) method will ensure the normal production of industries in this environment. However, there are few studies in emergency environments that consider the impact of the decision order of decision makers (DMs) on the decision results. Therefore, in order to fill the research gap, we propose an extended MCGDM method, whose main steps include the following: Firstly, the DMs give their assessment of all alternatives. Secondly, we take the AHP method and entropy weight method to weight the criteria and the DMs. Thirdly, we take the intuitionistic fuzzy hybrid priority weight average (IFHPWA) operator we proposed to aggregate evaluation information and take the TOPSIS method to rank all the alternatives. Finally, the proposed method is applied in a case to prove its practicability and effectiveness. The proposed method considers the influence of the decision order of the DMs on the decision results, which improves the accuracy and efficiency of decision-making results.

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