الفهرس 
Decision support system for supplier evaluation for health care institution
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Abstract
In today competitive world, selecting a good supplier makes a significant difference in an organization{u2019}s operational costs and the quality of its services. Supplier selection is becoming more significant and more complicated with the variations of purchase methods. Since the organizations are heavily dependent on suppliers, choosing the wrong one may cause problems during both the purchase phase and maintenance phase. The supplier evaluation systems provide decision makers with real time awareness about the supplier’s performance. In a typical supplier evaluation and selection process, suppliers are analyzed due to specific criteria such as quality of product, purchasing cost, after sale service and delivery due date. This multi criteria-qualitative and quantitative- decision problem is a complex process which requires expertise. The purpose of this study is to develop a decision support system to help decision makers to evaluate and select suppliers that satisfy the needs of hospital from medical equipment based on their performance according to some specific criteria. The developed systems are implemented by two techniques. The first model is developed by using artificial neural network (ANN) combined with discriminant analysis. The second model is developed by using fuzzy logic (FL). The decision support systems for supplier evaluation and selection were applied in Kasr Elaini hospital as a case study. The developed decision support systems were applied to real data for number of suppliers of large sized medical equipment that have been dealt with for a long period