Growing food demand, environmental degradation, post-harvest losses and the dearth of resources encourage the decision makers from developing nations to integrate the economic and environmental aspects in food supply chain network design. This paper aims to develop a bi-objective decision support model for sustainable food grain supply chain distribution system considering an entire network of procurement centres, central, state and district level warehouses, and fair price shops. The model seeks to minimize the cost and carbon dioxide emission simultaneously. The model covers several problem peculiarities such as multi-echelon, multi-period, multi-modal transportation, emission caused due to various motives, heterogeneous capacitated vehicles and limited availability, multiple sourcing and distribution, and capacitated warehouses. Several different realistic problem instances are solved using the two Pareto based multi-objective algorithms. Sensitivity analysis results imply that the decision makers should establish the sufficient number of warehouses in each producing and consuming states by maintaining the suitable balance between the two objectives. Multiple policymakers like Food Corporation of India, logistics providers and state government agencies will be benefited from this research study.