A mixed integer programming approach for freight railcar distribution

Marcello Calado; Júlio Barros; Ernesto Nobre; Bruno Prata

doi:10.1590/0103-6513.203815

Research Article

A mixed integer programming approach for freight railcar distribution

Marcello Calado; Júlio Barros; Ernesto Nobre; Bruno Prata

http://dx.doi.org/10.1590/0103-6513.203815 Production, vol.27, e20152038, 2017

PDF

Downloads: 1

Abstract

Abstract: The attendance of the demand for freight transport is related to the process of allocation of the wagons that in turn is associated with the way in which the decision is taken. The distribution of wagons to the shipment terminals depends on the planning as well as on movement of the empty wagons. In addition, the trips of the empty wagons have the major financial impact on the railroad system. In such a way, an efficient mechanism of wagon distribution is vital to the railroads, because it provides important operational profits and of costs. Therefore, the purpose of this study is to analyze the problem related to the distribution of the load wagons and to develop a mathematical model that can propose an optimal scheduling of the wagons.

Keywords

Mixed integer programming, Wagons allocation, Railroad planning, Logistics

References

Alfieri, A., Groot, R., Kroon, L., & Schrijver, A. (2006). Efficient circulation of railway rolling stock. Transportation Science, 40(3), 378-391. http://dx.doi.org/10.1287/trsc.1060.0155.

Alvarenga, A., & Novaes, A. (2001). Logística aplicada: suprimento e distribuição física (3rd ed., p. 194). São Paulo: Edgard Blücher.

Ballou, R. (2006). Gerenciamento da cadeia de suprimentos: logística empresarial (5th ed., p. 616). Porto Alegre: Bookman.

Cordeau, J., Toth, P., & Vigo, D. (1998). A survey of optimization models for train routing and scheduling. Transportation Science, 32(4), 380-404. http://dx.doi.org/10.1287/trsc.32.4.380.

Crainic, T., & Hall, R. (2003). Long-haul freight transportation. In R. Hall (Ed.), (Handbook of transportation science2nd ed., pp. 451-516). USA: Springer.

Dejax, P., & Crainic, T. (1987). A review of empty flows and fleet management models in freight transportation. Transportation Science, 21(4), 227-248. http://dx.doi.org/10.1287/trsc.21.4.227.

Fukasawa, R. (2002). Resolução de problemas de logística ferroviária utilizando programação inteira (Master’s thesis). Departamento de Engenharia Elétrica, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro.

Haghani, A. (1989). Formulation and solution of a combined train routing and makeup, and empty car distribution model. Transportation Research Part B: Methodological, 23(6), 433-452. http://dx.doi.org/10.1016/0191-2615(89)90043-X.

Holmberg, K., Joborn, M., & Lundgren, J. (1998). Improved empty freight car distribution. Transportation Science, 32(2), 163-173. http://dx.doi.org/10.1287/trsc.32.2.163.

Joborn, M., Crainic, T., Gendreau, M., Holmberg, K., & Lundgren, J. (2004). Economies of scale in empty freight car distribution in scheduled railways. Transportation Science, 38(2), 121-134. http://dx.doi.org/10.1287/trsc.1030.0061.

Powell, W., & Carvalho, T. (1998a). Dynamic control of logistics queueing networks for large-scale fleet management. Transportation Science, 32(2), 90-109. http://dx.doi.org/10.1287/trsc.32.2.90.

Powell, W., & Carvalho, T. (1998b). Real-time optimization of containers and flatcars for intermodal operations. Transportation Science, 32(2), 110-126. http://dx.doi.org/10.1287/trsc.32.2.110.

Sayarshad, H., & Ghoseiri, K. (2009). A simulated annealing approach for the multi-periodic rail-car fleet sizing problem. Computers & Operations Research, 36(6), 1789-1799. http://dx.doi.org/10.1016/j.cor.2008.05.004.

A mixed integer programming approach for freight railcar distribution

Marcello Calado; Júlio Barros; Ernesto Nobre; Bruno Prata

Abstract

Keywords

References

Links

Share

Production