@article { author = {Golpira, H. and Zandieh, M. and Najafi, E. and Sadi Nezhade, S.}, title = {Coordination of green supply chain network, considering uncertain demand and stochastic CO2 emission level}, journal = {Journal of Industrial Engineering and Management Studies}, volume = {2}, number = {2}, pages = {43-54}, year = {2015}, publisher = {Iran Center for Management Studies}, issn = {2476-308X}, eissn = {2476-3098}, doi = {}, abstract = {Many supply chain problems involve optimization of various conflicting objectives. This paper formulates a green supply chain network throughout a two-stage mixed integer linear problem with uncertain demand and stochastic environmental respects level. The first objective function of the proposed model considers minimization of supply chain costs while the second objective function minimizes CO2 emission level. The Conditional Value at Risk (CVaR) approach is used to deal with the demand uncertainty in supply chain network in addition to the scenario based approach that is employed to deal with the stochastic level of CO2 emission. The implementation of the proposed model has been demonstrated using some randomly selected numbers and the results are analyzed accordingly. }, keywords = {Green supply chain,Conditional value at risk,Uncertainty,Stochastic programming,robust optimization}, url = {https://jiems.icms.ac.ir/article_15344.html}, eprint = {https://jiems.icms.ac.ir/article_15344_4bca49966a80d0990f186b4cc6350a97.pdf} }