Production
https://prod.org.br/article/doi/10.1590/0103-6513.20170074
Production
Research Article

A model-based Decision Support System for multiple container terminals hub management

Facchini, Francesco; Boenzi, Francesco; Digiesi, Salvatore; Mummolo, Giovanni

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Abstract

Abstract: Paper aims: To develop a model-based Decision Support System (DSS) that allows identifying the best strategy of the inter-/intra-terminal flows of the containers in order to increasing the performance of the hub under economic and environmental perspective.

Originality: The adoption of a dry port can effectively solve the congestion problem of a terminal only if an integrated sustainable solution (dry port location and container strategy storage) is identified.

Research method: The model is based on a heuristic computational algorithm for non-linear programming.

Main findings: The application of DSS to a full-scale numerical case show the model capabilities in identifying the optimal logistic strategies ensuring a low CF and in optimizing the cost due to transport activities.

Implications for theory and practice: It is possible to identify different strategies allowing to obtain an eco-friendly solution reducing, at same time, the costs for a given number of containers to be handled.

Keywords

Sustainable logistics, Container terminal, Dry port, Carbon footprint, Material handling

References

Agra, A., & Oliveira, M. (2018). MIP approaches for the integrated berth allocation and quay crane assignment and scheduling problem. European Journal of Operational Research, 264(1), 138-148. http://dx.doi.org/10.1016/j.ejor.2017.05.040.

Ambrosino, D., & Sciomachen, A. (2014). Location of mid-range dry ports in multimodal logistic networks. Procedia: Social and Behavioral Sciences, 108, 118-128. http://dx.doi.org/10.1016/j.sbspro.2013.12.825.

Ambrosino, D., & Sciomachen, A. (2017). Investment evaluation in seaports for increasing the rail split modality in multimodal freight networks. In Proceedings of 2017 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) . Bari: IEEE. http://dx.doi.org/10.1109/SOLI.2017.8120991.

Amerini, G. (2010). Short sea shipping of goods 2008 (EU Publications, 26). Luxembourg: European Communities. Retrieved in 2018, October 3, from https://publications.europa.eu/en/publication-detail/-/publication/dfc70923-65ad-41c2-adef-6d6befb871ee

Bazzazi, M., Safaei, N., & Javadian, N. (2009). A genetic algorithm to solve the storage space allocation problem in a container terminal. Computers & Industrial Engineering , 56(1), 44-52. http://dx.doi.org/10.1016/j.cie.2008.03.012.

Boenzi, F., Digiesi, S., Facchini, F., Mossa, G., & Mummolo, G. (2015). Greening activities in warehouses: a model for identifying sustainable strategies in material handling. In Proceedings of 26th DAAAM International Symposium on Intelligent Manufacturing and Automation . Zadar: University of Zadar. Retrieved in 2018, October 3, from https://10.2507/26th.daaam.proceedings.138

Brinkmann, B. (2011). Operations systems of container terminals: a compendious overview. In J. Böse (Eds.), Handbook of terminal planning (Operations Research/Computer Science Interfaces Series, 49). New York: Springer. http://dx.doi.org/10.1007/978-1-4419-8408-1_2.

Carlo, H. J., Vis, I. F. A., & Roodbergen, K. J. (2014a). Transport operations in container terminals: Literature overview, trends, research directions and classification scheme. European Journal of Operational Research, 236(1), 1-13. http://dx.doi.org/10.1016/j.ejor.2013.11.023.

Carlo, H. J., Vis, I. F. A., & Roodbergen, K. J. (2014b). Storage yard operations in container terminals: literature overview, trends, and research directions. European Journal of Operational Research, 235(2), 412-430. http://dx.doi.org/10.1016/j.ejor.2013.10.054.

Carlo, H. J., Vis, I. F. A., & Roodbergen, K. J. (2015). Seaside operations in container terminals: literature overview, trends, and research directions. Flexible Services and Manufacturing Journal, 27(2-3), 224-262. http://dx.doi.org/10.1007/s10696-013-9178-3.

Cheung, R. K., Li, C.-L., & Lin, W. (2002). Interblock crane deployment in container terminals. Transportation Science, 36(1), 79-93. http://dx.doi.org/10.1287/trsc.36.1.79.568.

Crainic, T. G., Dell’Olmo, P., Ricciardi, N., & Sgalambro, A. (2015). Modeling dry-port-based freight distribution planning. Transportation Research Part C: Emerging Technologies, 55, 518-534. http://dx.doi.org/10.1016/j.trc.2015.03.026.

Dekker, R., Voogd, P., & van Asperen, E. (2006). Advanced methods for container stacking. OR-Spektrum, 28(4), 563-586. http://dx.doi.org/10.1007/s00291-006-0038-3.

Digiesi, S., Mascolo, G., Mossa, G., & Mummolo, G. (2016). New models for sustainable logistics: internalization of external costs in inventory management (SpringerBriefs in Operations Management). Cham: Springer. http://dx.doi.org/10.1007/978-3-319-19710-4.

Digiesi, S., Mossa, G., & Mummolo, G. (2013). Supply lead time uncertainty in a sustainable order quantity inventory model. Management and Production Engineering Review , 4(4), 15-27. http://dx.doi.org/10.2478/mper-2013-0034.

Digiesi, S., Mossa, G., & Rubino, S. (2012). Sustainable order quantity of repairable spare parts. IFAC Proceedings Volumes, 45(31), 181-186. http://dx.doi.org/10.3182/20121122-2-ES-4026.00043.

Digiesi, S., Mossa, G., & Rubino, S. (2015). A sustainable EOQ model for repairable spare parts under uncertain demand. IMA Journal of Management Mathematics , 26(2), 185-203. http://dx.doi.org/10.1093/imaman/dpu004.

Drewry Maritime Advisors. (2015). Trends in ports and shipping market: prospects for the coming years. Drewry. Retrieved in 2018, October 3, from http://www.bpoports.com/BPC/Riga/presentations/Sharma.pdf

Facchini, F., Mummolo, G., Mossa, G., Digiesi, S., Boenzi, F., & Verriello, R. (2016). Minimizing the carbon footprint of material handling equipment: comparison of electric and LPG forklifts. Journal of Industrial Engineering and Management , 9(5), 1035-1046. http://dx.doi.org/10.3926/jiem.2082.

Froyland, G., Koch, T., Megow, N., Duane, E., & Wren, H. (2007). Optimizing the land- side operation of a container terminal. OR-Spektrum, 30(1), 53-75. http://dx.doi.org/10.1007/s00291-007-0082-7.

Harris, I., Wang, Y., & Wang, H. (2015). ICT in multimodal transport and technological trends: unleashing potential for the future. International Journal of Production Economics, 159, 88-103. http://dx.doi.org/10.1016/j.ijpe.2014.09.005.

Kadir, E. A. (2017). Development of Information and Communication Technology (ICT) in container terminal for speed up clearance process. Journal of Communication, 12(4), 207-213.

Kiani, M., Sayareh, J., & Nooramin, S. (2010). A simulation framework for optimizing truck congestions in marine terminals. Journal for Maritime Research , 7(1), 55-70. Retrieved in 2018, October 3, from https://www.jmr.unican.es/index.php/jmr/article/view/128

Kim, K. H., Park, Y. M., & Ryu, K. R. (2000). Deriving decision rules to locate export containers in container yards. European Journal of Operational Research, 124(1), 89-101. http://dx.doi.org/10.1016/S0377-2217(99)00116-2.

Ku, D., & Arthanari, T. S. (2016). Container relocation problem with time windows for container departure. European Journal of Operational Research, 252(3), 1031-1039. http://dx.doi.org/10.1016/j.ejor.2016.01.055.

Le, X. T., & Knust, S. (2017). MIP-based approaches for robust storage loading problems with stacking constraints. Computers & Operations Research, 78, 138-153. http://dx.doi.org/10.1016/j.cor.2016.08.016.

Legato, P., & Mazza, R. M. (2017). A simulation model for designing straddle carrier-based container terminals. In Proceedings of 2017 Winter Simulation Conference (WSC) (pp. 3138-3149). Las Vegas: IEEE. http://dx.doi.org/10.1109/WSC.2017.8248033.

Liao, C. H., Tseng, P. H., & Lu, C. S. (2009). Comparing carbon dioxide emissions of trucking and intermodal container transport in Taiwan. Transportation Research Part D: Transport and Environment, 14(7), 493-496. http://dx.doi.org/10.1016/j.trd.2009.05.002.

Lin, D.-Y., & Chiang, C.-W. (2017). The storage space allocation problem at a container terminal. Maritime Policy & Management, 44(6), 685-704. http://dx.doi.org/10.1080/03088839.2017.1335897.

Nguyen, L. C., & Notteboom, T. (2016). A multi-criteria approach to dry port location in developing economies with application to Vietnam. The Asian Journal of Shipping and Logistics, 32(1), 23-32. http://dx.doi.org/10.1016/j.ajsl.2016.03.003.

Padilha, F., & Ng, A. K. Y. (2012). The spatial evolution of dry ports in developing economies: the Brazilian experience. Maritime Economics & Logistics, 14(1), 99-121. http://dx.doi.org/10.1057/mel.2011.18.

Phan, M.-H., & Kim, K. H. (2015). Negotiating truck arrival times among trucking companies and a container terminal. Transportation Research Part E: Logistics and Transportation Review, 75, 132-144. http://dx.doi.org/10.1016/j.tre.2015.01.004.

Roso, V., Woxenius, J., & Lumsden, K. (2009). The dry port concept: connecting container seaports with the hinterland. Journal of Transport Geography, 17(5), 338-345. http://dx.doi.org/10.1016/j.jtrangeo.2008.10.008.

Venturini, G., Iris, C., Kontovas, C. A., & Larsen, A. (2017). The multi-port berth allocation problem with speed optimization and emission considerations. Transportation Research Part D: Transport and Environment, 54, 142-159. http://dx.doi.org/10.1016/j.trd.2017.05.002.

Zanni, A. M., & Bristow, A. L. (2010). Emissions of CO2 from road freight transport in London: trends and policies for long run reductions. Energy Policy, 38(4), 1774-1786. http://dx.doi.org/10.1016/j.enpol.2009.11.053.

Zhang, C., Liu, J., Wan, Y. W., Murty, K. G., & Linn, R. J. (2003). Storage space allocation in container terminals. Transportation Research Part B: Methodological , 37(10), 883-903. http://dx.doi.org/10.1016/S0191-2615(02)00089-9.
 

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