A computational architecture for evaluation of the fuel consumption for importation of products
College
Gokongwei College of Engineering
Department/Unit
Mechanical Engineering
Document Type
Conference Proceeding
Source Title
HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
Volume
2018-January
First Page
1
Last Page
4
Publication Date
7-2-2017
Abstract
© 2017 IEEE. 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.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2017.8269460
Recommended Citation
Ubando, A. T., Gonzaga, J., Gue, I., & Biona, J. (2017). A computational architecture for evaluation of the fuel consumption for importation of products. HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, 2018-January, 1-4. https://doi.org/10.1109/HNICEM.2017.8269460
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