Analysis of greenhouse gas emissions in a freight transportation system

Authors

  • Geísa Pereira Marcilio UCAM-Campos
  • João José de Assis Rangel UCAM-Campos
  • Túlio Almeida Peixoto UCAM-Campos

DOI:

https://doi.org/10.14488/1676-1901.v17i2.2447

Keywords:

Simulation. Greenhouse gases. Transportation. Emissions. Sugarcane.

Abstract

The aim of this work was to analyze gas emissions from a truck exhaust system during the transportation of sugarcane from producing sources to a particular mill. Alternative scenarios for the freight handling were investigated considering a system performance variable, transportation time, and gas emissions produced. The method applied was the discrete event simulation, which computational model was built using a free and open source software called Ururau. Results showed that the decision concerning the choice of vehicles in specific situations can reduce gas emissions generated by the fleet. Hence, it was demonstrated the possibility to reduce these emissions just introducing changes in operational proceedings, without investing in new technologies.

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References

ARJONA, E.; BUENO, G.; SALAZAR, L. An activity simulation model for the analysis of the harvesting and transportation systems of a sugarcane plantation. Computers and Electronics in Agriculture, v. 32, n. 3, p. 247–264, 2001.

http://doi.org/10.1016/S0168-1699(01)00168-5

BANKS J.; CARSON J.S.; NELSON B.L.; NICOL, D. Discrete-event System Simulation, (2 ed ). Prentice-Hall: Englewood Cliffs, NJ, 210.

BYRNE, P. J. HEAVEY, C.; RYAN, P.; LISTON, P. Sustainable supply chain design: Capturing dynamic input factors. Journal of Simulation, v. 4, n. 4, p. 213–221, 2010.

http://doi.org/10.1057/jos.2010.18

DAGKAKIS, G.; HEAVEY, C. A review of open source discrete event simulation software for operations research. Journal of Simulation, p. 1–14, 2015.

http://doi.org/ 10.1057/jos.2015.9

FAHIMNIA, B.; SARKIS, J.; ESHRAGH, A. A tradeoff model for green supply chain planning:A leanness-versus-greenness analysis. Omega, v. 54, p. 173–190, jul. 2015.

http://doi.org/10.1016/j.omega.2015.01.014

FIORONI, M. M.; SILVA, D. J. da; FRANZESE, L. A. G.; CERQUEIRA, M. J. B.; ALMEIDA, D. de A. de A. Modeling the sugar cane logistics from farm to mill. 2013 Winter Simulations Conference (WSC). Anais...IEEE, dez. 2013.

FREITAS FILHO, P. J. Introdução à modelagem e simulação de sistemas com aplicações arena. 2. ed. São Paulo: Visual Books, 372, 2008.

IANNONE, R. MIRANDA, S.; PRISCO, L.; RIEMMA, S.; SARNO, D. Proposal for a flexible discrete event simulation model for assessing the daily operation decisions in a Ro–Ro terminal. Simulation Modelling Practice and Theory, v. 61, p. 28–46, fev. 2016.

http://doi.org/10.1016/j.simpat.2015.11.005

IANNONI, A. P.; MORABITO, R. Análise do sistema logístico de recepção de cana-de-açúcar: um estudo de caso utilizando simulação discreta. Gestão & Produção, v. 9, n. 2, p. 107–128, 2002. http://doi.org/10.1590/S0104-530X2002000200002

IEA statistics. CO2 emissions from fuel combustion – highlights; 2015.<http://www.iea.org/co2highlights/co2highlights.pdf>.

JAEGLER, A.; BURLAT, P. Carbon friendly supply chains: a simulation study of different scenarios. Production Planning & Control, v. 23, n. 4, p. 269–278, abr. 2012.

http://dx.doi.org/10.1080/09537287.2011.627656

JAEGLER, A.; BURLAT, P. What is the impact of sustainable development on the re-localisation of manufacturing enterprises? Production Planning and Control, v. 25, n. 11, p. 902–911, 2014. http://dx.doi.org/10.1080/09537287.2013.776126

LÄTTILÄ, L.; HENTTU, V.; HILMOLA, O.-P. Hinterland operations of sea ports do matter: Dry port usage effects on transportation costs and CO2 emissions. Transportation Research Part E: Logistics and Transportation Review, v. 55, p. 23–42, 2013.

http://doi.org/10.1016/j.tre.2013.03.007

LONGO, F. Sustainable supply chain design: an application example in local business retail. SIMULATION, v. 88, n. 12, p. 1484–1498, 2 out. 2012. http://doi.org/10.1177/0037549712458983

MONTEVECHI, J. A. B.; LEAL, F.; PINHO, A. F. de; COSTA, R. F. da S.; OLIVEIRA, M., L., M. de; SILVA, A. L. F. da. Conceptual modeling in simulation projects by mean adapted IDEF: An application in a Brazilian tech company. Proceedings of the 2010 Winter Simulation Conference. Anais...IEEE, dez. 2010.

PEIXOTO, T. A.; RANGEL, J. J. DE A.; MATIAS, Í. DE O.; DA SILVA, F. F.;TAVARES, E. R. Ururau: a free and open-source discrete event simulation software. Journal of Simulation, 2017. http://doi.org/10.1057/s41273-016-0038-5

RANGEL, J. J. de A.; PEIXOTO, T. A.; MATIAS, I. de O.; SHIMODA, E.; OLIVEIRA, G. L. de.; CARDOSO, L.D. Simulation model in a free and open-source software for carbon monoxide emissions analysis. In Proceedings of the 2013 Winter Simulation Conference. Anais…IEEE, dez. 2013. http://doi.org/10.1109/WSC.2013.6721570

RANGEL, J. J. DE A.; CORDEIRO, A. C. A. Free and Open-Source Software for sustainable analysis in logistics systems design. Journal of Simulation, v. 9, n. 1, p. 27–42, 2015.

http://doi.org/10.1057/jos.2014.17

RICHARDSON, B. C. Sustainable transport: analysis frameworks. Journal of Transport Geography, v. 13, n. 1, p. 29–39, mar. 2005. http://doi.org/10.1016/j.jtrangeo.2004.11.005

RODRIGUES, A. M.; REBELATO, M. G.; PAIXÃO, R. B. S.; ZEVIANI, C. H. Gestão ambiental no setor sucroenegético: uma análise comparativa. Produção Online, p. 1481–1510, 2014. http://doi.org/10.14488/1676-1901.v14i4.1717

Rosseti, M. D. Java simulation library (JSL): An open-source object-oriented library for discrete-event simulation in Java. International Journal of Simulation & Process Modelling, v. 4, n. 1, p.69–87, 2008. http://doi.org/10.1504/IJSPM.2008.020614

SARGENT, R. G. Verification and validation of simulation models. Journal of Simulation, v. 7, n. 1, p. 12–24, 7 dez. 2013. http://doi.org/10.1057/jos.2012.20

SCHEIDL, H. A.; SIMON, A. T.; PACAGNELLA JUNIOR, A. C.; SALGADO JÚNIOR, A. P. Environmental impacts of mechanization in Brazil’s sugar and ethanol industry: The cutting, loading, and transportation process case. Environmental Progress & Sustainable Energy, p. n/a–n/a, 9 jun. 2015. http://doi.org/10.1002/ep.12159

SILVA, J. E. A. R. da. Desenvolvimento de um modelo de simulação para auxiliar o gerenciamento de sistemas de corte, carregamento e transporte de cana-de-açúcar. 128 f. Dissertação (Mestrado em Engenharia de Produção) - Universidade Federal de São Carlos, São Carlos, 2006.

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Published

2017-06-14

How to Cite

Marcilio, G. P., Rangel, J. J. de A., & Peixoto, T. A. (2017). Analysis of greenhouse gas emissions in a freight transportation system. Revista Produção Online, 17(2), 533–566. https://doi.org/10.14488/1676-1901.v17i2.2447

Issue

Vol. 17 No. 2 (2017)

Section

Papers

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