Developing an integrated model for evaluation Risk in Supply Chain using ANN (Case Study: Iran Alloy Steel Company)

Abstract

In the last few years, supply chain management becomes more important,because of the globalization of business. By increasing complexity, levelof uncertainty and risk in the chain goes up. Hence supply chain risk managementhas become a major issue in the organization. One of the risksexisting in the supply chain is risk of suppliers. This research providesmodel for predicting supplier risk in Iran Alloy Steel Company that is thenanalyzed using Artificial Neural Networks which are capable to considernon-liner interrelations among criteria. In the model using fuzzy Delphi,seven criteria have been identified. Then by using AHP-VIKOR the risk ofsupplier calculated and the risk of suppliers were predicted. Finally, we usesensitive analysis for identification effect of every input on output

Keywords

• supplier risk
• fuzzy delphi
• ahp-vikor
• artificial neural
• network
• sensitivity analysis