A robust bi-objective uncertain green supply chain network management

Abstract

Many supply chain problems involve optimization of various conflicting objectives. This paper formulates a green supply chain network throughout a mixed integer linear problem with uncertain demand and stochastic environmental respects level. The first objective function considers minimization of supply chain costs while the second objective function minimizes CO₂ emission level. Conditional Value at Risk (CVaR) approach is used to deal with demand uncertainty in compliance with data driven approach, 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.