TY - GEN
T1 - A computational architecture for evaluation of the fuel consumption for importation of products
AU - Ubando, Aristotle T.
AU - Gonzaga, Jeremias A.
AU - Gue, Ivan Henderson V.
AU - Biona, Jose Bienvenido M.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85047749341&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047749341&partnerID=8YFLogxK
U2 - 10.1109/HNICEM.2017.8269460
DO - 10.1109/HNICEM.2017.8269460
M3 - Conference contribution
T3 - HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
SP - 1
EP - 4
BT - HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2017
Y2 - 29 November 2017 through 1 December 2017
ER -
