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