An Environmentally Sustainable Closed-Loop Supply Chain Network Design Under Uncertainty: Application of Optimization

Newly, the rates of energy and material consumption to augment industrial production are substantially high, thus environmentally sustainable development has emerged as main issue either developed or developing countries. A novel approach supply chain management is proposed maintain economic growth along with friendly concerns for design network. In this paper, a new green been suggested financial virtue accompanying environmental factors that required be mitigated negative effect rapid on environment. This multi-objective mathematical model minimizing total costs CO2 emissions establishing an closed-loop chain. Two optimization methods used namely Epsilon Constraint Method, Genetic Algorithm Optimization Method. The results two mentioned have compared illustrated their effectiveness. outcome analysis approved verify accuracy deal issues concurrently.