Planning of shunting routes for wagon batches in railway yards aiming at reducing total dwell time
DOI:
https://doi.org/10.58922/transportes.v32i2.2921Keywords:
Railway yards, Railway maneuvering, Railcars, MRCPSPAbstract
Railway marshaling yards operations play a crucial role in railway systems. The shuffling activities of railcar lots within the yard account for 10% to 50% of train transit time. The planning of railway yard activities aims to minimize the dwell time of railcar lots and enhance resource utilization. To address this, the present study proposes a mathematical model inspired by the Multi-Mode Resource Constrained Project Scheduling Problem (MRCPSP). The MRCPSP focuses on sequencing activities while considering resource allocation constraints, thereby reducing the time between the initiation and completion of these activities. The model’s validation utilized real data from the Tubarão Yard, employing IBM CPLEX 12.8. In all instances, the total maneuvering time calculated by CPLEX was lower than the time scheduled by yard operations staff, resulting in reductions of up to 2 hours per 6-hour shift.
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Adlbrecht, J.; B. Hüttler; J. Zazgornik et al. (2015) The train marshalling by a single shunting engine problem, Transportation Research Part C, Emerging Technologies, v. 58, p. 56-72. DOI: 10.1016/j.trc.2015.07.006. DOI: https://doi.org/10.1016/j.trc.2015.07.006
Boysen, N.; M. Fliedner; F. Jaehn et al. (2012) Shunting yard operations: theoretical aspects and applications, European Journal of Operational Research, v. 220, n. 1, p. 1-14. DOI: 10.1016/j.ejor.2012.01.043. DOI: https://doi.org/10.1016/j.ejor.2012.01.043
Boysen, N.; M. Fliedner; F. Jaehn et al. (2013) A survey on container processing in railway yards, Transportation Science, v. 47, n. 3, p. 312-29. DOI: 10.1287/trsc.1120.0415. DOI: https://doi.org/10.1287/trsc.1120.0415
Boysen, N.; S. Emde and M. Fliedner (2016) The basic train makeup problem in shunting yards, OR-Spektrum, v. 38, n. 1, p. 207-33. DOI: 10.1007/s00291-015-0412-0. DOI: https://doi.org/10.1007/s00291-015-0412-0
Bohlin, M.; S. Gestrelius; F. Dahms et al. (2016) Optimization methods for multistage freight train formation, Transportation Science, v. 50, n. 3, p. 823-40. DOI: 10.1287/trsc.2014.0580. DOI: https://doi.org/10.1287/trsc.2014.0580
CNT (2019) Volume de Cargas Transportadas. Disponı́ vel em: (acesso em: 10/10/2019).
Chen, X.; S. He; T. Li et al. (2018) A simulation platform for combined rail/road transport in multiyards intermodal terminals, Journal of Advanced Transportation, v. 2018, p. 1-19. DOI: 10.1155/2018/5812939. DOI: https://doi.org/10.1155/2018/5812939
Dotoli, M.; N. Epicoco; M. Falagario et al. (2017) A decision support system for optimizing operations at intermodal railroad terminals, IEEE Transactions on Systems, Man, and Cybernetics. Systems, v. 47, n. 3, p. 487-501. DOI: 10.1109/TSMC.2015.2506540. DOI: https://doi.org/10.1109/TSMC.2015.2506540
Gen, M.; R. Cheng and L. Lin (2010) Network Models and Optimization: Multiobjective Genetic Algorithm Approach. London: Springer.
Gestrelius, S.; M. Aronsson; M. Joborn et al. (2017) Towards a comprehensive model for track allocation and roll- time scheduling at marshalling yards, Journal of Rail Transport Planning & Management, v. 7, n. 3, p. 157-70. DOI: 10.1016/j.jrtpm.2017.06.002. DOI: https://doi.org/10.1016/j.jrtpm.2017.06.002
Haahr, J.T.; R.M. Lusby and J.C. Wagenaar (2017) Optimization methods for the train unit shunting problem, European Journal of Operational Research, v. 262, n. 3, p. 981-95. DOI: 10.1016/j.ejor.2017.03.068. DOI: https://doi.org/10.1016/j.ejor.2017.03.068
IBM (2019). IBM ILOG CPLEX Optimization Studio 12.6. Disponível em: <https://www.ibm.com/br> (acesso em: 20/11/2019).
Khaled, A.; M. Jin; D. Clarke et al. (2015) Train design and routing optimization for evaluating criticality of freight railroad infrastructures, Transportation Research Part B: Methodological, v. 71, p. 71-84. DOI: 10.1016/j.trb.2014.10.002. DOI: https://doi.org/10.1016/j.trb.2014.10.002
Pimenta, L.; R. Rosa; L. Zanotti et al. (2016) Modelo matemático para o planejamento de manobras de lotes de vagões em um terminal ferroviário. In Anais do XXX Congresso ANPET. Rio de Janeiro: ANPET.
Pimenta, L. and R. Rosa (2017) Planejamento da sequência das atividades e a utilização dos recursos para atendimento aos vagões em terminais ferroviários. In Anais do XXXI Congresso ANPET. . Rio de Janeiro: ANPET.
Pimenta, L. (2017) Planejamento das Atividades e da Utilização dos Recursos na Operação de Vagões em Terminais Ferroviários. Dissertação (Mestrado). Universidade Federal do Espírito Santo. Vitória. Disponível em: <http://repositorio.ufes.br/ handle/10/9508> (acesso em: 10/10/2019).
Rosa, R.A. (2016) Operação Ferroviária (v. 1). Rio de Janeiro: LTC.
Saeednia, M.; D. Bruckmann and U. Weidmann (2015) Event-Based Model for Optimizing Shunting Yard Operations. Transportation Research Board, Washington, p. 90-94. DOI: 10.3141/2475-11. DOI: https://doi.org/10.3141/2475-11
Shi, T. and X. Zhou (2015) A mixed integer programming model for optimizing multi-level operations process in railroad yards, Transportation Research Part B: Methodological, v. 80, p. 19-39. DOI: 10.1016/j.trb.2015.06.007. DOI: https://doi.org/10.1016/j.trb.2015.06.007
Wang, Z. and A. Ceder (2017) Efficient design of freight train operation with double-hump yards, The Journal of the Operational Research Society, v. 68, n. 12, p. 1600-19. DOI: 10.1057/s41274-017-0187-6. DOI: https://doi.org/10.1057/s41274-017-0187-6
Yan, F. and R.M.P. Goverde (2019) Combined line planning and train timetabling for strongly heterogeneous railway lines with direct connections, Transportation Research Part B: Methodological, v. 127, p. 20-46. DOI: 10.1016/j.trb.2019.06.010. DOI: https://doi.org/10.1016/j.trb.2019.06.010
Zhou, W.; X. Yang; J. Qin et al. (2014) Optimizing the long-term operating plan of railway marshalling station for capacity utilization analysis, The Scientific World Journal, v. 2014, p. 251315. DOI: 10.1155/2014/251315. PMid:25525614. DOI: https://doi.org/10.1155/2014/251315
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