Improving the performance of a medical imaging center through simulation and fuzzy DEA
作者机构:Department of MathematicsLahijan Branch Islamic Azad University LahijanIran Department of MathematicsCentral Tehran Branch Islamic Azad UniversityTehranIran Department of MathematicsScience and Research Branch Islamic Azad UniversityTehranIran
出 版 物:《International Journal of Modeling, Simulation, and Scientific Computing》 (建模、仿真和科学计算国际期刊(英文))
年 卷 期:2020年第11卷第6期
页 面:201-219页
核心收录:
学科分类:07[理学] 0701[理学-数学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 070101[理学-基础数学]
主 题:Computer simulation data envelopment analysis decision making unit fuzzy numbers α-cut technique voting technique
摘 要:Given that various operational methods can be considered for a system,applying changes to study the results and determine the best operational technique is costly and disrupts the ***,to analyze and evaluate the outcomes of employing different operational methods,simulation is *** this study,to improve the performance of a medical imaging center(MIC),first,this center was simulated and then,different scenarios were defined and ***,using the simulation results and for evaluating the scenarios through Data Envelopment Analysis(DEA),each scenario was considered as a decision making unit(DMU).Since simulation results of each scenario are uncertain and differ for different iterations,a method was utilized capable of using the results of all *** the other hand,indexes such as satisfaction,patient’s appropriate waiting,helpful servicing with the least number nurses and the maximum number services that have fuzzy nature,are important factors for ***,using the simulation results and considering the system manager’s idea,a method was proposed for determining the fuzzy values of these ***,a ranking model and an algorithm were proposed for determining a unique ranking and introducing the best scenario to improve the performance of MIC.