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

Aristotle T. Ubando, Jeremias A. Gonzaga, Ivan Henderson V. Gue, Jose Bienvenido M. Biona

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationHNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538609101
DOIs
Publication statusPublished - 2017 Jul 2
Event9th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2017 - Manila, Philippines
Duration: 2017 Nov 292017 Dec 1

Publication series

NameHNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
Volume2018-January

Other

Other9th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2017
CountryPhilippines
CityManila
Period17-11-2917-12-01

All Science Journal Classification (ASJC) codes

  • Ecological Modelling
  • Management, Monitoring, Policy and Law
  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction
  • Information Systems
  • Control and Optimization
  • Artificial Intelligence

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