Optimizing the Green Supply Chain Considering Technology which Used in Production Under Uncertainty

Nowdays, due to the increase in population, the growth of technology and the enhancement in greenhouse gas emissions, it is very important to reduce the environmental pollution of manufacturing of products and the transportations. This article presents a new three level green supply chain model that consist of suppliers, manufacturers and customers. The novelty of this lecture is considering three objects simultaneously. Also, considering the technology, pollution and quality is the other novelties of this model. Due to the fact that in the real world information is not available, the non-deterministic approach will be used environmental pollution parameters and product quality parameters is considered in non-deterministic, the form of  fuzzy numbers.  The weighting the goals and LP-metric method are used to convert the multi-objective model to single- objective model which solving by GAMS software. Sensitivity analysis is done on some parameters. The obtained results show the greeter sensitivity of the new model to changes of demand. From of managerial point of view, this article can serve as a suitable guide for green supply chain network design, considering the effects of technology, profit, cost, and environmental factors under uncertainty.