抽象的な

Research on the risk aversion decision model of green supply chain for manufacturing enterprises based on rough set

Chu Ye-ping, Tao jun-cheng, Zhang Shu-hong

Implementing green supply chain management is a risky strategy for enterprises, as it puts forward a very high requirement for their risk management and control ability. In this paper we establish the risk decision-making knowledge express system (information system) of manufacturing enterprises green supply chain based on the rough set data mining methods by identifying the key risk factors of green supply chain. This is followed by the building of the risk aversion decision model of green supply chain strategy. In addition, the risk aversion decision-making rules of enterprises green supply chain are studied through the analysis, reduction and reasoning of decision-making table, so as to provide the manufacture enterprises with decision-making measures to avoid the risk for their green supply chain