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A computational architecture for evaluation of the fuel consumption for importation of products

Transportation is one of the leading sources of carbon dioxide emission of the world. Since, globally, it is a network of links between destinations, the assessment of its carbon footprint is difficult to estimate. Life Cycle Assessment is often used in assessing the environmental impact of each link, however, most studies account only for a specific configuration of the transportation network. This study proposes to generalize the supply chain network of product flow by incorporating the database of the distances between ports and the product flow, in order to quantify the fuel consumed for importing a product. The fuel consumption quantified by the developed model can aid environmental scientists to arrive in a more comprehensive impact assessment. Furthermore, the study will assist policy and decision makers in the evaluation of supply chains. A case study on the transportation of petroleum oil is used to demonstrate the capability of the developed model. The yielded result of the model was able to portray the regions of import where there is high fuel consumption.