Ozceylan, ErenPehlivan, Nimet YapiciPaksoy, Turan2020-03-262020-03-2620151542-39801542-3999https://hdl.handle.net/20.500.12395/32185Increasing the environmental concerns with legislations and responsibilities are forcing enterprises to take an attention at the impact of their supply chain operations on the environment. An optimally designed supply chain network is required to provide economic, social and environmental requirements in good flows actualizing between suppliers, manufacturers and customers. A nonlinear mixed integer programming model is proposed with the aimed of optimally determining consumed fuel, emitted CO2, driver and transportation costs in this study. However, real world supply chain operations are occurred in a highly dynamic and imprecise environment. Thus, a fuzzy mathematical programming approach is applied to cope with uncertainty in the capacities and demands. The proposed fuzzy model is validated and also compared with different fuzzy mathematical programming approaches through an example, where its applicability is demonstrated for managerial insights.eninfo:eu-repo/semantics/closedAccessEnvironmental impactsfuzzy mathematical programmingnonlinear mixed integer programmingsupply chain network designArticle25181103Q3WOS:000350409300004Q4