Measuring the risk degree of the Green Supply Chain Management System based fuzzy preference relations

Many organizations are developing their competencies in logistics and green supply chain management (GSCM) in order to maintain competitiveness. When an organization decides to implement GSCM, the administrators always encounter internal and external risk items or difficulties which they know even they don't know. This study therefore proposes an analytic hierarchy model to help the administrators understand the critical risk factors influence the GSCM system initiation, and an aggregative risk degree is indicated which risk grade they are in. Successful influences can help the enterprise under their competitive advantages to appropriate allocation of resources, to further improve the efficiency of resource utilization, and provide enterprises to choose business strategy of the green supply chain management has reached the goal of corporate operating performance and brand management.