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Container Terminal Environment

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Part of the book series: Contributions to Management Science ((MANAGEMENT SC.))

Abstract

The three main operational areas of a container terminal, namely the waterside, yard and landside area, are briefly sketched in order to enable a basic understanding of the processes relevant for the analysis in subsequent chapters. Main planning problems, which occur in the three operational areas, are introduced and described, respectively. Coming from a general view on the entire terminal operations, a closer look is taken at the yard block level being the operational area relevant for the research statement of the work. Here, basic terminology is defined and different yard block layouts, the corresponding yard crane systems and the implications for handling operations and yard crane movement are described. Within this overview, the focus is put on automation leading to a brief statement and comparison of variants of automated stacking cranes with single and multiple cranes per block. As the work is motivated from the informational context of arrival and retrieval times of containers, the properties of time information about containers at the waterside and landside are identified and possible systems of vehicle arrival management for estimating the time information are conveyed. Following from this, the problem environment of the research study is formulated.

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Notes

  1. 1.

    The quay is the decoupling point at the waterside of manual quay crane operation and the AGVs.

  2. 2.

    TEU – Twenty-foot Equivalent Unit is the standard measurement for containers according to their length of 20 ft (6.058 m) (Intersecretariat Working Group on Transport Statistics 2003).

  3. 3.

    Stacks marked in white indicate that this stack is empty of any containers.

  4. 4.

    The transshipment share gives the share of containers that are delivered to and retrieved from the waterside.

  5. 5.

    The realised departure time is a function of the realised arrival and berthing time. However, the ETD is already specified within the VCP prior to the realised vessel arrival.

  6. 6.

    The term ‘Vehicle Booking System (VBS)’ may also be encountered in the literature (Davis 2009)

References

  • Bierwirth C, Meisel F (2010) A survey of berth allocation and quay crane scheduling problems in container terminals. Eur J Oper Res 202 (3): 615–627

    Article  Google Scholar 

  • Bierwirth C, Meisel F (2015) A follow-up survey of berth allocation and quay crane scheduling problems in container terminals. Eur J Oper Res 244 (3): 675–689

    Article  Google Scholar 

  • Borgman B, van Asperen E, Dekker R (2010) Online rules for container stacking. OR Spectr 32 (3): 687–716

    Article  Google Scholar 

  • Boysen N, Stephan K (2016) A survey on single crane scheduling in automated storage/retrieval systems. Eur J Oper Res 254 (3): 691–704

    Article  Google Scholar 

  • Boysen N, Fliedner M, Jaehn F, Pesch E (2013) A survey on container processing in railway yards. Transp Sci 47 (3): 312–329

    Article  Google Scholar 

  • Boysen N, Briskorn D, Meisel F (2017) A generalized classification scheme for crane scheduling with interference. Eur J Oper Res 258 (1): 343–357

    Article  Google Scholar 

  • Brinkmann B (2011) Operations systems of container terminals: a compendious overview. In: Böse JW (ed) Handbook of terminal planning. Volume 49 of operations research/computer science interfaces series. Springer, New York, pp 25–39

    Google Scholar 

  • Carlo HJ, Vis IFA, Roodbergen KJ (2014a) Storage yard operations in container terminals: literature overview, trends, and research directions. Eur J Oper Res 235 (2): 412–430

    Article  Google Scholar 

  • Carlo HJ, Vis IFA, Roodbergen KJ (2014b) Transport operations in container terminals: literature overview, trends, research directions and classification scheme. Eur J Oper Res 236 (1): 1–13

    Article  Google Scholar 

  • Carlo HJ, Vis IFA, Roodbergen KJ (2015) Seaside operations in container terminals: literature overview, trends, and research directions. Flex Serv Manuf J 27 (2–3): 224–262

    Article  Google Scholar 

  • Caserta M, Schwarze S, Voß S (2011) Container rehandling at maritime container terminals. In: Böse JW (ed) Handbook of terminal planning. Volume 49 of operations research/computer science interfaces series. Springer, New York, pp 247–269

    Google Scholar 

  • Chen X, Zhou X, List GF (2011) Using time-varying tolls to optimize truck arrivals at ports. Transp Res E Logist Transp Rev 47 (6): 965–982

    Article  Google Scholar 

  • Chen G, Govindan K, Yang ZZ, Choi TM, Jiang L (2013) Terminal appointment system design by non-stationary M(t)∕E kc(t) queueing model and genetic algorithm. Int J Prod Econ 146 (2):694–703

    Article  Google Scholar 

  • Choi HR, Kim HS, Park BJ, Park NK, Lee SW (2003) An ERP approach for container terminal operating systems. Marit Policy Manag 30 (3): 197–210

    Article  Google Scholar 

  • Covic F (2017) Re-marshalling in automated container yards with terminal appointment systems. Flex Serv Manuf J 29 (3–4): 433–503

    Article  Google Scholar 

  • Davis P (2009) Container terminal reservation systems. In: 3rd annual METRANS national urban freight conference, Long Beach

    Google Scholar 

  • 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 131–154

    Google Scholar 

  • Dorndorf U, Schneider F (2010) Scheduling automated triple cross-over stacking cranes in a container yard. OR Spectr 32 (3): 617–632

    Article  Google Scholar 

  • Eilken A (2017) Yard crane scheduling at maritime container terminals. Ph.D. thesis, University of Hamburg

    Google Scholar 

  • Garcia MD, González-Ramírez RG, Mar-Ortiz J (2017) The impact of lanes segmentation and booking levels on a container terminal gate congestion. Flex Serv Manuf J 29 (3–4): 403–432

    Article  Google Scholar 

  • Giuliano G, O’Brien T (2007) Reducing port-related truck emissions: the terminal gate appointment system at the Ports of Los Angeles and Long Beach. Transp Res D Transp Environ 12 (7): 453–528

    Article  Google Scholar 

  • Goodchild AV, Daganzo CF (2006) Double-cycling strategies for container ships and their effect on ship loading and unloading operations. Transp Sci 40 (4): 473–483

    Article  Google Scholar 

  • Günther HO, Kim KH (2006) Container terminals and terminal operations. OR Spectr 28 (4): 437–445

    Article  Google Scholar 

  • Gupta A, Roy D, de Koster R, Parhi S (2017) Optimal stack layout in a sea container terminal with automated lifting vehicles. Int J Prod Res 55 (13): 3747–3765

    Article  Google Scholar 

  • Hamburger Hafen und Logistik (HHLA) (2016) Vormeldepflicht fuer LKW-Transporte. https://hhla.de/de/trucker-info/vormeldepflicht.html. Hamburger Hafen und Logisitk AG. Accessed on 16 Mar 2017

  • Hamburger Hafen und Logistik (HHLA) (2017a) Technische Daten Altenwerder. https://hhla.de/de/container/altenwerder-cta/technische-daten.html. Hamburger Hafen und Logisitk AG. Accessed on 21 Dec 2017

  • Hamburger Hafen und Logistik (HHLA) (2017b) Technische Daten Burchardkai. https://hhla.de/de/container/burchardkai-ctb/technische-daten.html. Hamburger Hafen und Logisitk AG. Accessed on 21 Dec 2017

  • Hamburger Hafen und Logistik (HHLA) (2017c) So funktioniert CTA. https://hhla.de/de/container/altenwerder-cta/so-funktioniert-cta.html. Hamburger Hafen und Logisitk AG. Accessed on 22 Dec 2017

  • Harbor Department L.A. (2014, transmittal) Container terminal automation. Technical report, Harbor Department, Planning and Economic Development Division, Los Angeles

    Google Scholar 

  • Hartmann S (2004) A general framework for scheduling equipment and manpower at container terminals. OR Spectr 26 (1): 51–74

    Article  Google Scholar 

  • Hendriks M, Laumanns M, Lefeber E, Udding JT (2010) Robust cyclic berth planning of container vessels. OR Spectr 32 (3): 501–517

    Article  Google Scholar 

  • Hu L, Shi X, Voß S, Zhang W (2011) Application of RFID technology at the entrance gate of container terminals. In: Böse JW, Hu H, Jahn C, Shi X, Stahlbock R, Voß S (eds) Computational logistics, ICCL 2011. Volume 6971 of lecture notes in computer science. Springer, Berlin/Heidelberg, pp 209–220

    Google Scholar 

  • Huynh N (2005) Methodologies for reducing truck turn time at marine container terminals. Ph.D. thesis, The University of Texas, Austin

    Google Scholar 

  • Intersecretariat Working Group on Transport Statistics (IWG.Trans) (2003) Glossary for transport statistics. Technical report, Office for Official Publications of the European Communities, Luxembourg

    Google Scholar 

  • Jin JG, Lee DH, Cao JX (2016) Storage yard management in maritime container terminals. Transp Sci 50 (4): 1300–1313

    Article  Google Scholar 

  • Kalmar C (2015) Next generation Kalmar ASC system. https://www.kalmarglobal.com/globalassets/equipment/automated-stacking-cranes/the-next-generation-kalmar-asc-system.pdf. Product leaflet. Accessed on 08 Mar 2018

  • Kalmar C (2017) New lease of life for HHLA Burchardkai. https://www.kalmarglobal.com/customer-cases/all-customer-cases/hhla-ctb-germany/. Customer case HHLA, CTB. Accessed on 22 Dec 2017

  • Kemme N (2011) RMG crane scheduling and stacking: overview and implications on terminal planning. In: Böse JW (ed) Handbook of terminal planning. Volume 49 of operations research/computer science interfaces series. Springer, New York, pp 271–297

    Google Scholar 

  • Kemme N (2013) Design and operation of automated container storage systems. Contributions to management science, 1st edn. Physica, Heidelberg

    Book  Google Scholar 

  • Lange AK, Schwientek A, Jahn C (2017) Reducing truck congestion at ports: classification and trends. In: Jahn C, Kersten W, Ringle CM (eds) Digitalization in maritime and sustainable logistics. epubli, Berlin, pp 37–58

    Google Scholar 

  • Maguire A, Ivey S, Golias MM, Lipinski ME (2010) Relieving congestion at intermodal marine container terminals: review of tactical/operational strategies. In: 51st annual transportation research forum, Arlington

    Google Scholar 

  • Monaco MF, Sammarra M, Sorrentino G (2014) The terminal-oriented ship stowage planning problem. Eur J Oper Res 239 (1): 256–265

    Article  Google Scholar 

  • Morais P, Lord E (2006) Terminal appointment system study. In: Transport Canada publication TP 14570E, Transportation Development Centre of Transport Canada, Montreal

    Google Scholar 

  • Namboothiri R, Erea AL (2008) Planning local container drayage operations given a port access appointment system. Transp Res E Logist Transp Rev 44 (2): 185–202

    Article  Google Scholar 

  • Peoples J, Talley WK (2004) Owner-operator truck driver earnings and employment: port cities and deregulation. Res Transp Econ 10: 191–213

    Article  Google Scholar 

  • Petering MEH (2011) Decision support for yard capacity, fleet composition, truck substitutability, and scalability issues at seaport container terminals. Transp Res E Logist Transp Rev 47 (1): 85–103

    Article  Google Scholar 

  • Petering MEH, Wu Y, Li W, Goh M, de Souza R (2009) Development and simulation analysis of real-time yard crane control systems for seaport container transshipment terminals. OR Spectr 31 (4): 801–835

    Article  Google Scholar 

  • PierPass, PierPass Inc (2015) PierPass terminals embrace appointment systems at Ports of Los Angeles and Long Beach to control congestion. http://www.pierpass.org/appointment-systems/. Accessed on 09 Mar 2018

  • Port of Antwerp, Port of Antwerp Community System (2014) PSA TAMS. http://www.portofantwerp.com/apcs/en/node/464. Accessed on 23 Jan 2018

  • Port of Hamburg, Hafen Hamburg Marketing e.V. (2018) Expected vessels. https://www.hafen-hamburg.de/en/vessels/eta. Accessed on 19 Jan 2018

  • Port Technology, Maritime Information Services Ltd (2017) Noatum terminal invests in rail-mounted gantry cranes. https://www.porttechnology.org/news/noatum_terminal_invests_in_rail_mounted_gantry_cranes. Accessed on 22 Dec 2017

  • PSA Singapore, PSA International Pte Ltd (2018) Transhipment. https://www.singaporepsa.com/about-us/core-business. Accessed on 08 Mar 2018

  • Ranau M (2011) Planning approach for dimensioning of automated traffic areas at seaport container terminals. In: Böse JW (ed) Handbook of terminal planning. Volume 49 of operations research/computer science interfaces series. Springer, New York, pp 179–193

    Google Scholar 

  • Roanoke Regional Partnership, Roanoke County, VA (2017) TMEIC signs world’s largest single automated-stacking cranes order. https://roanoke.org/2017/02/07/tmeic-signs-worlds-largest-single-automated-stacking-cranes-order/. Accessed on 22 Dec 2017

  • Rotterdam World Gateway (RWG) (2018a) Operational information. https://rwgservices.rwg.nl/Information/OperationalInformation. Accessed on 23 Jan 2018

  • Schwarze S, Voß S, Zhou G, Zhou G (2012) Scientometric analysis of container terminals and ports literature and interaction with publications on distribution networks. In: Hu H, Shi X, Stahlbock R, Voß S (eds) Computational logistics, ICCL 2012. Volume 7555 of lecture notes in computer science. Springer, Berlin/Heidelberg, pp 33–52

    Google Scholar 

  • Speer U, Fischer K (2017) Scheduling of different automated yard crane systems at container terminals. Transp Sci 51 (1): 305–324

    Article  Google Scholar 

  • Stahlbock R, Voß S (2008a) Operations research at container terminals: a literature update. OR Spectr 30 (1): 1–52

    Article  Google Scholar 

  • Stahlbock R, Voß S (2008b) Vehicle routing problems and container terminal operations: an update of research. In: Golden B, Raghavan S, Wasil E (eds) The vehicle routing problem: latest advances and new challenges. Volume 43 of operations research/computer science interfaces. Springer, Boston, pp 551–589

    Google Scholar 

  • Steenken D, Voß S, Stahlbock R (2004) Container terminal operation and operations research: a classification and literature review. OR Spectr 26 (1): 3–49

    Article  Google Scholar 

  • TABS (Terminal Appointment Booking System) (2018) About. http://1-stop.com.ph/about/. 1-stop connections Pty Ltd. Accessed on 23 Jan 2018

  • Tierney K, Voß S, Stahlbock R (2014) A mathematical model of inter-terminal transportation. Eur J Oper Res 235 (2): 448–460

    Article  Google Scholar 

  • UNCTAD (United Nations Conference on Trade and Development) (2017) Review of maritime transport 2017. UNCTAD/RMT/2017, United Nations, Geneva

    Google Scholar 

  • van Asperen E, Borgman B, Dekker R (2013) Evaluating impact of truck announcements on container stacking efficiency. Flex Serv Manuf J 25 (4): 543–556

    Article  Google Scholar 

  • van Ham JC (2005) The feasibility of mega container vessels. Eur Transp 25–26: 89–98

    Google Scholar 

  • Verny J, Grigentin C (2009) Container shipping on the Northern Sea Route. Int J Prod Econ 122 (1): 107–117

    Article  Google Scholar 

  • Vis IFA, de Koster R (2003) Transshipment of containers at a container terminal: an overview. Eur J Oper Res 147 (1): 1–16

    Article  Google Scholar 

  • Voß S (2012) Extended mis-overlay calculation for pre-marshalling containers. In: Hu H, Shi X, Stahlbock R, Voß S (eds) Computational logistics, ICCL 2012. Volume 7555 of lecture notes in computer science. Springer, Berlin/Heidelberg, pp 86–91

    Google Scholar 

  • Wiese J, Suhl L, Kliewer N (2011) Planning container terminal layouts considering equipment types and storage block design. In: Böse JW (ed) Handbook of terminal planning. Volume 49 of operations research/computer science interfaces series. Springer, New York, pp 219–245

    Google Scholar 

  • Wu Y, Li W, Petering MEH, Goh M, de Souza R (2015) Scheduling multiple yard cranes with crane interference and safety distance requirement. Transp Sci 49 (4): 990–1005

    Article  Google Scholar 

  • Zehendner E, Feillet D (2014a) Benefits of a truck appointment system on the service quality of inland transport modes at a multimodal container terminal. Eur J Oper Res 235 (2): 461–469

    Article  Google Scholar 

  • Zhang C, Liu J, Wan Y, Murty KG, Linn RL (2003) Storage space allocation in container terminals. Transp Res B Methodol 37 (10): 883–903

    Article  Google Scholar 

  • Zhao W, Goodchild AV (2010) The impact of truck arrival information on container terminal rehandling. Transp Res E Logist Transp Rev 46 (3): 327–343

    Article  Google Scholar 

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Covic, F. (2019). Container Terminal Environment. In: Container Handling in Automated Yard Blocks. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-030-05291-1_2

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