Summary: | In the last few years, supply chain management becomes more important,
because of the globalization of business. By increasing complexity, level
of uncertainty and risk in the chain goes up. Hence supply chain risk management
has become a major issue in the organization. One of the risks
existing in the supply chain is risk of suppliers. This research provides
model for predicting supplier risk in Iran Alloy Steel Company that is then
analyzed using Artificial Neural Networks which are capable to consider
non-liner interrelations among criteria. In the model using fuzzy Delphi,
seven criteria have been identified. Then by using AHP-VIKOR the risk of
supplier calculated and the risk of suppliers were predicted. Finally, we us
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