| Issue |
E3S Web Conf.
Volume 532, 2024
Second International Conference of Applied Industrial Engineering: Intelligent Production Automation and its Sustainable Development (CIIA 2024)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 9 | |
| Section | Integrating Sustainability Strategies and Developments in Industrial Production | |
| DOI | https://doi.org/10.1051/e3sconf/202453201009 | |
| Published online | 06 June 2024 | |
Multi-objective analysis of performance in mileage based on the minimization of several vehicle polluting features
1 Instituto Superior Tecnológico Bolívar, Ambato 180102, Ecuador
2 Universidad de Guayaquil, Guayaquil 090514, Ecuador
3 Universidad Nacional de Chimborazo, Riobamba 060108, Ecuador
* Corresponding author: franklin.samaniegor@ug.edu.ec
This paper analyses the fuel consumption and emissions of and from various kinds of automobiles. The aim is to identify the set of automobiles models that produce the least pollution and provide the higher mileage. To complete the analysis, a multi-objective optimization problem (MOP) has been proposed with a visual representation methodology of the Pareto front (Level Diagram); in this way, it has been determined that the highest compromise values corresponding to the utopian point determine a mileage performance of 16.30 [km/l]. Finally, it is important to highlight that the MOP has facilitated the analysis process, which helps the Decision Maker (DM) in the adequate selection of the final solution, based on the available knowledge of the set of optimal solutions.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.