in this paper, a novel hybrid model based on neural network and game theory is proposed to support the analyzers in oil market. in this model, first the neural network is utilized to learn the oil prices associated with opec production level and usa imports level. then the learned neural network is applied by a game model. finally the nash equilibrium points of the game present the optimum deci...

objectives: the present study aimed to provide an estimation of the current financial burden of renal transplantation therapy for insurance organisations.methods: an excel-based model was developed to determine the treatment costs of current clinical practice in renal transplantation therapy (rtt). inputs were derived from ministry of health and insurance organizations` database, hospital and p...

introduction: one of the types of hospital management information systems is decision support information system (dsis). this system uses decision-making models and databases for preparing specific information to support their semi-structured or unstructured decisions. the present study aimed to design a decision dsis model for board of trustees of ayatollah kashani hospital, shahrekord, iran. ...

Supply Chain Operations Reference (SCOR) model is developed and maintained by the Supply Chain Council (SCC). The model is a reference model which can be utilized to map benchmark and improve the supply chain operations. SCOR model provides companies with a basic process modeling tool, an extensive benchmark database by defining a set of supply chain metrics. This paper explains the process and...

data envelopment analysis (dea) is a nonparametric approach to estimate relative efficiency of decision making units (dmus). dea and is one of the best quantitative approach and balanced scorecard (bsc) is one of the best qualitative method to measure efficiency of an organization. since simultaneous evaluation of network performance of the quad areas of bsc model is considered as a necessity a...