Optimization of the green supply chain management considering uncertainty in consequence of risk (Case Study: Golsam Company)

Regulation changes affect pollutions tax of industry, labor unio‎n problems such as insurance and retirement health plan. Although environmental and economic performance is significant, safety and inherent risk are important to the supply chain. The paper proposes a multi-objective optimization model to minimize the inherent risk, carbon emissions, and economic cost. There is uncertainty in the risk consequence of facilities and transportation accidents between facilities, whose distribution function is unknown. Therefore, robust optimization is applied to resolve the uncertainty. The weighted sum utility method also combines some functions having different measurement units. Three functions of risk, carbon emissions, and cost are converted into one. The paper presents a case study to prove the proposed model and discusses constraints for more improvement.