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Erschienen in:
Introduction to Container Handling Research Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

3. Container Handling in the Yard Area

verfasst von : Filip Covic

Erschienen in: Container Handling in Automated Yard Blocks

Verlag: Springer International Publishing

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Abstract

All types of container handling operations in yard blocks are identified. Their properties are evaluated in order to enable a classification of handling operations. In this sense, it is distinguished between handover handling and re-handling operations. Based on the handling types, self-contained planning problems for container handling in yard blocks are formally defined. First, a general taxonomy for the problem types is purposed. Afterwards, individual problems are stated and classified according to the proposed scheme. The main properties of each problem in terms of yard block layout and yard crane system among others are evaluated and contrasted with the other handling problems for the purpose of comparison. In the end, the problem scope of this work is formulated as the result of this chapter.

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Vorheriges Kapitel Container Terminal Environment
Nächstes Kapitel Literature Review on Container Handling in the Yard Area
Fußnoten
1
The term ‘housekeeping’ may also be encountered in the literature (Carlo et al. 2014).
 
2
The prioritised objective of this work.
 
3
Yard crane scheduling and sequencing are only considered in terms of modelling for reasons of completeness. Afterwards, they are considered as downstream problems in the hierarchy of yard block optimisation that do not constitute a core aspect of container handling but are rather yard crane problems (see Chaps. 4 and 5 for a more detailed discussion). Interaction effects of sequencing and scheduling with general container handling are investigated within the simulation in Chaps. 7, 8, and 9.
 
4
Due to the fact that the SSAP is the only problem on the terminal level and the focus is put on microscopic yard block operations, the SSAP is only considered in terms of the modelling for reasons of completeness. Afterwards, it is considered as upstream problem in the hierarchy of yard block optimisation being at the intersection of waterside and landside operations with the yard area. Moreover, factors beyond the modelling borders laid out in Chap. 3 (e.g., distances between yard blocks in the entire terminal) affect the decision-making within the SSAP increasing the size of the problem considerably. The intractability of an integrated solution on the macroscopic and microscope level is illustrated by the numerical results in Chap. 5.
 
5
Note that import and export containers are not separated in the block, thus, landside and waterside operations affect each other. The figure only illustrates the data relationships between the problems.
 
Literatur
Bernhofen DM, El-Sahil Z, Kneller R (2016) Estimating the effects of the container revolution on world trade. J Int Econ 98: 36–50CrossRef
Berx N (2007) Efficient stacking on container terminals: how to cope with volume fluctuations on a densely stacked terminal, while maintaining terminal performance. Port Technol Int 35: 53–54
Bortfeldt A, Forster F (2012) A tree search procedure for the container pre-marshalling problem. Eur J Oper Res 217 (3): 531–540CrossRef
Carlo HJ, Vis IFA, Roodbergen KJ (2014) Storage yard operations in container terminals: literature overview, trends, and research directions. Eur J Oper Res 235 (2): 412–430CrossRef
Caserta M, Schwarze S, Voß S (2012) A mathematical formulation and complexity considerations for the blocks relocation problem. Eur J Oper Res 219 (1): 96–104CrossRef
Covic F (2017) Re-marshalling in automated container yards with terminal appointment systems. Flex Serv Manuf J 29 (3–4): 433–503CrossRef
Dekker R, Voogd P, van Asperen E (2007) Advanced methods for container stacking. In: Kim KH, Günther, HO (eds) Container terminals and cargo systems. Springer, Berlin/Heidelberg, pp 131–154CrossRef
Kang J, Oh MS, Ahn EY, Ryu KR, Kim KH (2006) Planning for intra-block remarshalling in a container terminal. In: Ali M, Dapoigny R (eds) Advances in applied artificial intelligence, IEA/AIE 2006. Volume 4031 of lecture notes in computer science. Springer, Berlin/Heidelberg, pp 1211–1220CrossRef
Lee Y, Hsu NY (2007) An optimization model for the container pre-marshalling problem. Comput Oper Res 34 (11): 3295–3313CrossRef
Levinson M (2006) The box: how the shipping container made the world smaller and the world economy bigger, 1st edn. Princeton University Press, Princeton
Ries J, González-Ramírez RG, Miranda P (2014) A fuzzy logic model for the container stacking problem at container terminals. In: González-Ramírez RG, Schulte F, Voß S, Ceroni Díaz JA (eds) Computational logisitcs, ICCL 2014. Volume 8760 of lecture notes in computer science. Springer, Cham, pp 93–111
Saurí S, Martín E (2011) Space allocating strategies for improving import yard performance at marine terminals. Transp Res E Log Transp Rev 47 (6): 1038–1057CrossRef
Sharif O, Huynh N (2013) Storage space allocation at marine container terminals using ant-based control. Expert Syst Appl 40 (6): 2323–2330CrossRef
Tang L, Jiang W, Liu J, Dong Y (2015) Research into container reshuffling and stacking problems in container terminal yards. IIE Trans 47 (7): 751–766CrossRef
Zhang C, Liu J, Wan Y, Murty KG, Linn RL (2003) Storage space allocation in container terminals. Transp Res B: Methodol 37 (10): 883–903CrossRef
Zhen L (2014) Storage allocation in transshipment hubs under uncertainties. Int J Prod Res 52 (1): 72–88CrossRef
Metadaten
Titel
Container Handling in the Yard Area
verfasst von
Filip Covic
Copyright-Jahr
2019
Buch
Container Handling in Automated Yard Blocks

Print ISBN: 978-3-030-05290-4

Electronic ISBN: 978-3-030-05291-1

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-05291-1_3