Development methodology to share vehicles optimizing the variability of the mileage
A simulation is a tool used to visualize the behaviors of a system, which will later help make decisions regarding how to handle the variables involved in the system, as well as the specific changes that have to be made. This study shows a case of vehicle allocation for different people within a com...
- Autores:
-
Ramírez Polo, Luis E
Santander-Mercado, Alcides R
Jimenez Barros, Miguel Angel
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7813
- Acceso en línea:
- https://hdl.handle.net/11323/7813
https://doi.org/10.1007/978-3-030-47679-3_36
https://repositorio.cuc.edu.co/
- Palabra clave:
- Simulation
Optimization
Assignment problem
Vehicle share
Mileage limit
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
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Development methodology to share vehicles optimizing the variability of the mileage |
| title |
Development methodology to share vehicles optimizing the variability of the mileage |
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Development methodology to share vehicles optimizing the variability of the mileage Simulation Optimization Assignment problem Vehicle share Mileage limit |
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Development methodology to share vehicles optimizing the variability of the mileage |
| title_full |
Development methodology to share vehicles optimizing the variability of the mileage |
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Development methodology to share vehicles optimizing the variability of the mileage |
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Development methodology to share vehicles optimizing the variability of the mileage |
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Development methodology to share vehicles optimizing the variability of the mileage |
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Ramírez Polo, Luis E Santander-Mercado, Alcides R Jimenez Barros, Miguel Angel |
| dc.contributor.author.spa.fl_str_mv |
Ramírez Polo, Luis E Santander-Mercado, Alcides R Jimenez Barros, Miguel Angel |
| dc.subject.spa.fl_str_mv |
Simulation Optimization Assignment problem Vehicle share Mileage limit |
| topic |
Simulation Optimization Assignment problem Vehicle share Mileage limit |
| description |
A simulation is a tool used to visualize the behaviors of a system, which will later help make decisions regarding how to handle the variables involved in the system, as well as the specific changes that have to be made. This study shows a case of vehicle allocation for different people within a company, evaluating methodologies, vehicle rotation to reduce the variance of the mileage and eliminating penalties with rental agencies for exceeding the permitted mileage. The paper shows a literature review of allocation models and similar studies, and later displays a detailed description of the problem, the variables that was used, the composition of the simulation and the optimization model that were generated, the results of the simulation, and finally, the findings of the research. |
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2020 |
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2021-02-02T20:28:28Z |
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2021-02-02T20:28:28Z |
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Artículo de revista |
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https://doi.org/10.1007/978-3-030-47679-3_36 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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1. Sundaram, S., Koutsopoulos, H.N., Ben-Akiva, M., Antoniou, C., Balakrishna, R.: Simulation-based dynamic traffic assignment for short-term planning applications. Simul. Model. Pract. Theory 19(1), 450–462 (2011) 2. Lawrence, K.R., Tunke, J.A.: Analysis and profiling of vehicle fleet data. United States Patent 6505106 (1999) 3. Illgen, S., Höck, M.: Literature review of the vehicle relocation problem in one-way car sharing networks. Transp. Res. Part B: Methodol. 193(204), 120 (2019) 4. Herazo-Padilla, N., Montoya-Torres, J., Muñoz-V, A., Nieto Isaza, S., Ramirez Polo, L.: Coupling ant colony optimization and discrete-event simulation to solve a stochastic location-routing problem. In Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World, pp. 3352–3362, 2013 5. Ramirez Polo, L., Mendoza, F., Jimenez, M.: Simulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport system. Espacios 38(13), 1 (2017) 6. Guttkuhn, R., Dawson, T., Trutschel, U., Walker, J., Moroz, M.: Simulation planning and rostering: a discrete event simulation for the crew assignment process in north american freight railroads. In: Proceedings of the 35th Conference on Winter Simulation: Driving Innovation (2003) 7. Guttkuhn, R., Dawson, T., Tmtschel, U., Walker, J., Moroz, M.: A discrete event simulation for the crew assignment process in North American freight railroads. In: Winter Simulation Conference, Washington, D.C (2013) 8. Li, N., Zhao, Z., Gu, J., Liu, B.: Ant colony optimization algorithm for expert assignment problem. In: Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, Kuming (2008) 9. Xie, H., Ji, S., Shen, J., Han, X.: Research on traffic volume forecast and assignment of logistics park. In: 2008 IEEE, Vancouver, WA (2008) 10. Donghua, W., Xue, L.: A study on transportation problem model. In: International Conference on Management and Service Science, Wuhan (2009) 11. Jiang, X., Bao, Y.: A DAI-based method for rail traffic passenger flow assignment and simulation. In: International Conference on Artificial Intelligence and Computational Intelligence (2010) 12. Zheng, P., Hu, C., Zhang, C.: Airport gate assignments model and algorithm. In: International Conference on Artificial Intelligence and Computational Intelligence, Sanya, China (2010) 13. Ferrero, F., Perboli, G., Rosano, M., Vesco, A.: Car-sharing services: an annotated review. Sustain. Cities Soc. 37, 501–518 (2018) 14. Hamilton, A., Waterson, B., Cherrett, T., Robinson, A., Snell, I.: The evolution of urban traffic control: changing policy and technology. Transp. Plann. Technol. 36(1), 24–43 (2013) 15. Wright, S.: Designing flexible transport services: guidelines for choosing the vehicle type. Transp. Plann. Technol. 36(1), 76–92 (2013) 16. Tanishita, M.: Life events, car transaction, and usage by car type: longitudinal data from Japan. J. Traffic Transp. Eng. 6, 88–96 (2018) |
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Ramírez Polo, Luis ESantander-Mercado, Alcides RJimenez Barros, Miguel Angel2021-02-02T20:28:28Z2021-02-02T20:28:28Z2020https://hdl.handle.net/11323/7813https://doi.org/10.1007/978-3-030-47679-3_36Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/A simulation is a tool used to visualize the behaviors of a system, which will later help make decisions regarding how to handle the variables involved in the system, as well as the specific changes that have to be made. This study shows a case of vehicle allocation for different people within a company, evaluating methodologies, vehicle rotation to reduce the variance of the mileage and eliminating penalties with rental agencies for exceeding the permitted mileage. The paper shows a literature review of allocation models and similar studies, and later displays a detailed description of the problem, the variables that was used, the composition of the simulation and the optimization model that were generated, the results of the simulation, and finally, the findings of the research.Ramírez Polo, Luis ESantander-Mercado, Alcides R-will be generated-orcid-0000-0001-7144-4686-600Jimenez Barros, Miguel Angel-will be generated-orcid-0000-0002-8038-7297-600application/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Lecture Notes in Computer Sciencehttps://link.springer.com/chapter/10.1007/978-3-030-47679-3_36SimulationOptimizationAssignment problemVehicle shareMileage limitDevelopment methodology to share vehicles optimizing the variability of the mileageArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. Sundaram, S., Koutsopoulos, H.N., Ben-Akiva, M., Antoniou, C., Balakrishna, R.: Simulation-based dynamic traffic assignment for short-term planning applications. Simul. Model. Pract. Theory 19(1), 450–462 (2011)2. Lawrence, K.R., Tunke, J.A.: Analysis and profiling of vehicle fleet data. United States Patent 6505106 (1999)3. Illgen, S., Höck, M.: Literature review of the vehicle relocation problem in one-way car sharing networks. Transp. Res. Part B: Methodol. 193(204), 120 (2019)4. Herazo-Padilla, N., Montoya-Torres, J., Muñoz-V, A., Nieto Isaza, S., Ramirez Polo, L.: Coupling ant colony optimization and discrete-event simulation to solve a stochastic location-routing problem. In Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World, pp. 3352–3362, 20135. Ramirez Polo, L., Mendoza, F., Jimenez, M.: Simulation model to find the slack time for schedule of the transit operations in off-peak time on the main terminal of massive transport system. Espacios 38(13), 1 (2017)6. Guttkuhn, R., Dawson, T., Trutschel, U., Walker, J., Moroz, M.: Simulation planning and rostering: a discrete event simulation for the crew assignment process in north american freight railroads. In: Proceedings of the 35th Conference on Winter Simulation: Driving Innovation (2003)7. Guttkuhn, R., Dawson, T., Tmtschel, U., Walker, J., Moroz, M.: A discrete event simulation for the crew assignment process in North American freight railroads. In: Winter Simulation Conference, Washington, D.C (2013)8. Li, N., Zhao, Z., Gu, J., Liu, B.: Ant colony optimization algorithm for expert assignment problem. In: Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, Kuming (2008)9. Xie, H., Ji, S., Shen, J., Han, X.: Research on traffic volume forecast and assignment of logistics park. In: 2008 IEEE, Vancouver, WA (2008)10. Donghua, W., Xue, L.: A study on transportation problem model. In: International Conference on Management and Service Science, Wuhan (2009)11. Jiang, X., Bao, Y.: A DAI-based method for rail traffic passenger flow assignment and simulation. In: International Conference on Artificial Intelligence and Computational Intelligence (2010)12. Zheng, P., Hu, C., Zhang, C.: Airport gate assignments model and algorithm. In: International Conference on Artificial Intelligence and Computational Intelligence, Sanya, China (2010)13. Ferrero, F., Perboli, G., Rosano, M., Vesco, A.: Car-sharing services: an annotated review. Sustain. Cities Soc. 37, 501–518 (2018)14. Hamilton, A., Waterson, B., Cherrett, T., Robinson, A., Snell, I.: The evolution of urban traffic control: changing policy and technology. Transp. Plann. Technol. 36(1), 24–43 (2013)15. Wright, S.: Designing flexible transport services: guidelines for choosing the vehicle type. Transp. Plann. Technol. 36(1), 76–92 (2013)16. Tanishita, M.: Life events, car transaction, and usage by car type: longitudinal data from Japan. J. Traffic Transp. 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