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Published in: International Journal of Machine Learning and Cybernetics 10/2018

06-04-2017 | Original Article

A heuristic procedure for the outbound container space assignment problem for small and midsize maritime terminals

Authors: Roberto Guerra-Olivares, Neale R. Smith, Rosa G. González-Ramírez, Ezequiel García-Mendoza, Leopoldo Eduardo Cárdenas-Barrón

Published in: International Journal of Machine Learning and Cybernetics | Issue 10/2018

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Abstract

The space allocation problem for outbound containers involves assigning containers to specific locations in the yard as they are delivered to the port. The problem is challenging because the arrival sequence is not known in advance, which makes it difficult to minimize container rehandling during the ship loading operation. This paper provides a heuristic procedure for the container space allocation problem employing reach stacker vehicles as container handling equipment. Procedures reported in the existing literature apply to rubber-tired gantry (RTG) cranes. Therefore, we are extending current research to the cases of port terminals that employ reach stacker vehicles, commonly used by small or medium size ports in emerging countries such as in Latin America. In addition, we adapted a procedure recently published in the literature. Empirical results show that the proposed heuristic yields better performance than the adapted heuristic. Another contribution of this paper is the formulation of a perfect information mathematical model which computes a lower bound on the number of rehandles required to load a group of containers given their arrival sequence to the port. The gap between the number of rehandle movements achieved by the proposed heuristic and the perfect information model is reported.

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Footnotes
1
Some interviews at the ports of Mexico, Panama, Colombia, Peru and Chile were performed as part of the program “Digital and Collaborative Ports in Latin America” promoted by the Economic System of Latin Americ and the Caribbean, SELA. Consulted in: http://​walk.​sela.​org/​attach/​258/​default/​1-DocumentoInforme​Final-VD.​pdf.
 
Literature
1.
go back to reference Borgman B, Van Asperen E, Dekker R (2010) Online rules for container stacking. OR Spectr 32:687–716CrossRefMATH Borgman B, Van Asperen E, Dekker R (2010) Online rules for container stacking. OR Spectr 32:687–716CrossRefMATH
2.
3.
go back to reference Carlo HJ, Vis IFA, Roodbergen KJ (2014) Storage yard operations in container terminals: literature overview, trends and research directions. Eur J Prod Res 235:412–430MATH Carlo HJ, Vis IFA, Roodbergen KJ (2014) Storage yard operations in container terminals: literature overview, trends and research directions. Eur J Prod Res 235:412–430MATH
4.
go back to reference Caserta M, Schwarze S, Voß S (2009) A new binary description of the blocks relocation problem and benefits in a look ahead heuristic. Evolut Comput Comb Optim 5482:37–48 Caserta M, Schwarze S, Voß S (2009) A new binary description of the blocks relocation problem and benefits in a look ahead heuristic. Evolut Comput Comb Optim 5482:37–48
5.
go back to reference Caserta M, Schwarze S, Voß S (2012) A mathematical formulation and complexity considerations for the blocks relocation problem. Eur J Op Res 219(1):96–104MathSciNetCrossRefMATH Caserta M, Schwarze S, Voß S (2012) A mathematical formulation and complexity considerations for the blocks relocation problem. Eur J Op Res 219(1):96–104MathSciNetCrossRefMATH
6.
go back to reference Chau KW, Wu CL (2010) A hybrid model coupled with singular spectrum analysis for daily rainfall prediction. J Hydroinform 12(4):458–473CrossRef Chau KW, Wu CL (2010) A hybrid model coupled with singular spectrum analysis for daily rainfall prediction. J Hydroinform 12(4):458–473CrossRef
7.
go back to reference Wang WC, Chau KW, Xu DM, Chen XY (2015) Improving forecasting accuracy of annual runoff time series using ARIMA based on EEMD decomposition. Water Resour Manag 29(8):2655–2675CrossRef Wang WC, Chau KW, Xu DM, Chen XY (2015) Improving forecasting accuracy of annual runoff time series using ARIMA based on EEMD decomposition. Water Resour Manag 29(8):2655–2675CrossRef
8.
go back to reference Chen L, Lu Z (2012) The storage location assignment problem for outbound containers in a maritime terminal. Int J Prod Econ 135:73–80CrossRef Chen L, Lu Z (2012) The storage location assignment problem for outbound containers in a maritime terminal. Int J Prod Econ 135:73–80CrossRef
9.
go back to reference Gharehgozli AH, Yu Y, de Koster R, Udding JT (2014) A decision- tree stacking heuristic minimising the expected number of reshuffles at a container terminal. Int J Prod Res 52:2592–2611CrossRef Gharehgozli AH, Yu Y, de Koster R, Udding JT (2014) A decision- tree stacking heuristic minimising the expected number of reshuffles at a container terminal. Int J Prod Res 52:2592–2611CrossRef
10.
go back to reference Gökdağ H, Yildiz AR (2012) Structural damage detection using modal parameters and particle swarm optimization. Mater Test 54(6):416–420CrossRef Gökdağ H, Yildiz AR (2012) Structural damage detection using modal parameters and particle swarm optimization. Mater Test 54(6):416–420CrossRef
11.
go back to reference Hu W, Wang H, Min Z (2014) A storage allocation algorithm for outbound containers based on the outer–inner cellular automaton. Inform Sci 281:147–171MathSciNetCrossRef Hu W, Wang H, Min Z (2014) A storage allocation algorithm for outbound containers based on the outer–inner cellular automaton. Inform Sci 281:147–171MathSciNetCrossRef
12.
go back to reference Kang J, Ryu KR, Kim KH (2006) Deriving stacking strategies for export containers with uncertain weight information. J Intell Manuf 17:399–410CrossRef Kang J, Ryu KR, Kim KH (2006) Deriving stacking strategies for export containers with uncertain weight information. J Intell Manuf 17:399–410CrossRef
13.
go back to reference Kiani M, Yildiz AR (2016) A comparative study of non-traditional methods for vehicle crashworthiness and NVH optimization. Arch Comput Methods Eng 23(4):723–734MathSciNetCrossRefMATH Kiani M, Yildiz AR (2016) A comparative study of non-traditional methods for vehicle crashworthiness and NVH optimization. Arch Comput Methods Eng 23(4):723–734MathSciNetCrossRefMATH
14.
go back to reference Kim KH, Kim HB (1999) Segregating space allocation models for container inventories in port container terminals. Int J Prod Econ 59:415–423CrossRef Kim KH, Kim HB (1999) Segregating space allocation models for container inventories in port container terminals. Int J Prod Econ 59:415–423CrossRef
15.
go back to reference Kim KY, Kim KH (1999) A routing algorithm for a single straddle carrier to load export containers onto a containership. Int J Prod Econ 59:425–433CrossRef Kim KY, Kim KH (1999) A routing algorithm for a single straddle carrier to load export containers onto a containership. Int J Prod Econ 59:425–433CrossRef
16.
go back to reference Lee DH, Cao Z, Meng Q (2007) Scheduling of two-transtainer systems for loading outbound containers in port container terminals with simulated annealing algorithm. Int J Prod Econ 107:115–124CrossRef Lee DH, Cao Z, Meng Q (2007) Scheduling of two-transtainer systems for loading outbound containers in port container terminals with simulated annealing algorithm. Int J Prod Econ 107:115–124CrossRef
17.
go back to reference Öztürk N, Yıldız AR, Kaya N, Öztürk F (2006) Neuro-genetic design optimization framework to support the integrated robust design optimization process in CE. Concurr Eng 14(1):5–16CrossRef Öztürk N, Yıldız AR, Kaya N, Öztürk F (2006) Neuro-genetic design optimization framework to support the integrated robust design optimization process in CE. Concurr Eng 14(1):5–16CrossRef
18.
go back to reference Park T, Choe R, Kim YH, Ryu KR (2011) Dynamic adjustment of container stacking policy in an automated container terminal. Int J Prod Econ 133:385–392CrossRef Park T, Choe R, Kim YH, Ryu KR (2011) Dynamic adjustment of container stacking policy in an automated container terminal. Int J Prod Econ 133:385–392CrossRef
19.
go back to reference Petering MEH (2013) Real-time container storage location assignment at an RTG-based seaport container transshipment terminal: problem description, control system, simulation model, and penalty scheme experimentation. Flex Serv Manuf J. doi:10.1007/s10696-013-9183-6 Petering MEH (2013) Real-time container storage location assignment at an RTG-based seaport container transshipment terminal: problem description, control system, simulation model, and penalty scheme experimentation. Flex Serv Manuf J. doi:10.​1007/​s10696-013-9183-6
20.
go back to reference Taormina R, Chau KW (2015) Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines. J Hydrol 529:1617–1632CrossRef Taormina R, Chau KW (2015) Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines. J Hydrol 529:1617–1632CrossRef
21.
go back to reference Tapia F, Covarrubias R, Miranda P, González-Ramírez R (2013) On the storage space allocation problem, 22nd International Conference on Production Research, ICPR Tapia F, Covarrubias R, Miranda P, González-Ramírez R (2013) On the storage space allocation problem, 22nd International Conference on Production Research, ICPR
22.
go back to reference Tus A, Rendl A, Raidl GR (2015) Metaheuristics for the two-dimensional container pre-marshalling problem, In: Learning and Intelligent Optimization, 9th International Conference LION 9, Dhaenens C, Jourdan L, Marmion ME (eds) Lecture Notes in Computer Science, Vol 8994, 186–201 Tus A, Rendl A, Raidl GR (2015) Metaheuristics for the two-dimensional container pre-marshalling problem, In: Learning and Intelligent Optimization, 9th International Conference LION 9, Dhaenens C, Jourdan L, Marmion ME (eds) Lecture Notes in Computer Science, Vol 8994, 186–201
23.
go back to reference Yang JH, Kim KH (2006) A grouped storage method for minimizing relocations in block stacking systems. J Intell Manuf 17:453–463CrossRef Yang JH, Kim KH (2006) A grouped storage method for minimizing relocations in block stacking systems. J Intell Manuf 17:453–463CrossRef
24.
go back to reference Woo YJ, Kim KH (2011) Estimating the space requirement for outbound container inventories in port container terminals. Int J Prod Econ 133:293–301CrossRef Woo YJ, Kim KH (2011) Estimating the space requirement for outbound container inventories in port container terminals. Int J Prod Econ 133:293–301CrossRef
25.
go back to reference Wu CL, Chau KW, Li YS (2009) Methods to improve neural network performance in daily flows prediction. J Hydrol 372(1):80–93CrossRef Wu CL, Chau KW, Li YS (2009) Methods to improve neural network performance in daily flows prediction. J Hydrol 372(1):80–93CrossRef
26.
go back to reference Yildiz BS, Lekesiz H, Yildiz AR (2016) Structural design of vehicle components using gravitational search and charged system search algorithms. Mater Test 58(1):79–81CrossRef Yildiz BS, Lekesiz H, Yildiz AR (2016) Structural design of vehicle components using gravitational search and charged system search algorithms. Mater Test 58(1):79–81CrossRef
27.
go back to reference Yıldız AR, Kurtuluş E, Demirci E, Yıldız BS, Karagöz S (2016) Optimization of thin-wall structures using hybrid gravitational search and Nelder-Mead algorithm. Mater Test 58(1):75–78CrossRef Yıldız AR, Kurtuluş E, Demirci E, Yıldız BS, Karagöz S (2016) Optimization of thin-wall structures using hybrid gravitational search and Nelder-Mead algorithm. Mater Test 58(1):75–78CrossRef
28.
go back to reference Yildiz AR (2013) Comparison of evolutionary-based optimization algorithms for structural design optimization. Eng Appl Artif Intell 26(1):327–333CrossRef Yildiz AR (2013) Comparison of evolutionary-based optimization algorithms for structural design optimization. Eng Appl Artif Intell 26(1):327–333CrossRef
29.
go back to reference Zhang S, Chau KW (2009) Dimension reduction using semi-supervised locally linear embedding for plant leaf classification. In International Conference on Intelligent Computing (pp. 948–955). Springer Berlin Heidelberg Zhang S, Chau KW (2009) Dimension reduction using semi-supervised locally linear embedding for plant leaf classification. In International Conference on Intelligent Computing (pp. 948–955). Springer Berlin Heidelberg
30.
go back to reference Zhang J, Chau KW (2009) Multilayer ensemble pruning via novel multi-sub-swarm particle swarm optimization. J. UCS 15(4):840–858 Zhang J, Chau KW (2009) Multilayer ensemble pruning via novel multi-sub-swarm particle swarm optimization. J. UCS 15(4):840–858
Metadata
Title
A heuristic procedure for the outbound container space assignment problem for small and midsize maritime terminals
Authors
Roberto Guerra-Olivares
Neale R. Smith
Rosa G. González-Ramírez
Ezequiel García-Mendoza
Leopoldo Eduardo Cárdenas-Barrón
Publication date
06-04-2017
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 10/2018
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-017-0676-6

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