The logistics management in the sizing of the fleet of containers per ships in dedicated route - The use of computer simulation: A Brazilian shipping company case

Main Article Content

Delmo Alves de Moura
Rui Carlos Botter
João Ferreira Netto

Abstract

The aim of this paper is provide the use of the simulation in the  to manage one important point in the logistics systems to shipping companies that is the imbalance of containers, movement of empty containers from surplus ports to deficit ports.

From a survey of data from a shipping company operating in Brazil, at various ports, it was possible to model and simulate the needs in six major domestic ports of empty and full containers and seek to meet demand in the shipping market, reducing storage of containers and maintaining the level of excellence in service.

Based on the discrete event simulation it was possible to analyze the problem of empty and full containers at the ports in the maritime transportation system. It was possible study the imbalance situation in the ports e provide one tool the companies to manage yours service.

The data are confined to one company located in São Paulo and operating in Brazil at maritime transportation.

The research shows that the imbalance problem between full and empty containers is a real case to all companies in the maritime transportation and can have effective solutions using discrete event simulation.

To have excellent supply chain management it is important to have also one effective transportation system. This paper contributes to research in the inbound and outbound part of the supply chain management.

Article Details

Section
Articles
Author Biographies

Delmo Alves de Moura, Federal University of ABC

Professor at  Federal University of ABC - Industrial Engineering

Rui Carlos Botter, University of São Paulo

Full Professor at the Polytechnic School, Department of Naval and Oceanic Engineering at University of São Paulo, Brazil.

João Ferreira Netto, Innovation Center for Logistics and Ports Infrastructure - CILIP - USP.

He also researches modeling techniques of stochastic systems

References

BRAEKERS, K.; JANSSENS, G. K.; CARIS, A. (2011) Challenges in Managing empty container movements at multiple levels. Transport Reviews, v. 31, n. 6, p. 681-708.

DI FRANCESCO, M.; CRAINIC, T. G.; ZUDDAS, P. (2009) The Effect of Multi-Scenario Policies on Empty Container Repositioning. Transportation Research Part E: Logistics and Transportation Review, v. 45, n. 5, p. 758-770.

GUAN, Y.; YANG, K.-H. (2010) Analysis of berth allocation and inspection operations in a container terminal, Maritime Economics & Logistics, v. 12, n. 4, p. 347–369.

HARTMANN, S. (2013) Scheduling reefer mechanics at container terminals. Transportation Research Part E: Logistics and Transportation Review, n. 51, p. 17-27.

IMAI, A.; RIVERA, F. (2010) Strategic fleet size planning for maritime refrigerated containers. Maritime Policy & Management, p. 28, n. 4, p. 361-374.

IMAI, A.; ZHANG, J.-T.; NISHIMURA, E.; PAPADIMITRIOU, S. (2007) The berth allocation problem with service time and delay time objectives. Maritime Economics & Logistics, v. 9, n. 4, p. 269–290.

KONINGS, R. (2005) Foldable containers to reduce the costs of empty transport? A cost-benefit analysis from a chain and multi-actor perspective. Maritime Economics and Logistics, v. 7, n. 3, p. 223–249.

KOZAN, E.; PRESTON, P. (2006) Mathematical modeling of container transfers and storage locations at seaport terminals. OR Spectrum Quantitative Approaches in Management, v. 28, n. 4, p. 519–537.

LAGOUDIS, I. N.; LITINAS, N. A.; FRAGKOS, S. (2006) Modelling container fleet size: the case of a medium size container shipping company. Paper presented at the international conference Shipping in the era of Social Responsability, Greece.

LAI, M.; CRAINIC, T. G.; DI FRANCESCO, M. D.; ZUDDAS, P. (2013) An heuristic search for the routing of heterogeneous trucks with single and double container loads. Transportation Research Part E: Logistics and Transportation Review, n. 56, p. 108-118.

LAM, S. W.; LEE, L. L.; TANG, L. C. (2007) An approximate dynamic programming approach for the empty container allocation problem. Transport Research Part C, n. 15, p. 265-267.

LI, J. A.; LEUNG, S. C. H.; WU, Y.; LIU, K. (2007) Allocation of empty containers between multi-ports. European Journal of Operational Research, v. 182, n. 1, p. 400-412.

LI, J. A.; LIU, K.; LEUNG, S. C. H.; LAI, K. K. (2004) Empty container management in a port with long-run average criterion. Mathematical and Computer Modelling, v. 40, n. 12, p. 85–100.

LI, X. (2013) An integrated modeling framework for design of logistics networks with expedited shipment services. Transportation Research Part E: Logistics and Transportation Review, n. 56, p. 46-63.

NISHIMURA, E.; IMAI, A.; JANSSENS, G. K.; PAPADIMITRIOU, S. (2009) Container storage and transshipment marine terminals. Transportation Research Part E: Logistics and Transportation Review, n. 45, p. 771-786.

OHAZULIKE, A. E.; STILL, G.; KERN, W.; VAN BERKUM, E. C. (2013) An origin–destination based road pricing model for static and multi-period traffic assignment problems. Transportation Research Part E: Logistics and Transportation Review, n. 58, p. 1-27.

SONG, D.-P.; DONG, J.-X. (2011) Effectiveness of an Empty Container Repositioning Policy With Flexible Destination Ports. Transport Policy, v. 18, n. 1, p. 92-101.

YUN, W. Y.; LEE, M. L.; CHOI, Y. S. (2011) Optimal inventory control of empty containers in inland transportation system. International Journal of Production Economics, v. 133, n. 1, p. 451-457.

ZHEN, L.; CHEW, E. P.; LEE, L. H. (2011) An Integrated Model for Berth Template and Yard Template Planning in Transshipment Hubs. Transportation Science, v. 45, n. 4, p. 483–504.

ZOU, L.; YU, C.; DRESNER, M. (2013) The application of inventory transshipment modeling to air cargo revenue management. Transportation Research Part E: Logistics and Transportation Review, n. 57, p. 27-44.